Drug_Repurposing_DrugBank.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 527,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "import itertools\n",
    "import os\n",
    "warnings.filterwarnings('ignore')\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 528,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "random.seed(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 529,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A function to calulate \"Reactions per Pathway %\" for each phenotype\n",
    "def Calculate_Enrichment_Coverage(enrich,sko_summ,target_col):\n",
    "    enrich_coverage = enrich\n",
    "    phenotypes =  sko_summ.index \n",
    "    for j in range(sko_summ.shape[0]):\n",
    "        enrich_coverage[phenotypes[j]] = np.zeros((enrich.shape[0],1))\n",
    "        query_genes = sko_summ.loc[phenotypes[j],target_col]\n",
    "        query_genes = query_genes.split('; ')# for x in query_genes]\n",
    "        #query_genes  =np.unique(np.concatenate(query_genes))\n",
    "        query_genes = [x for x in query_genes if x not in ['NaN','nan']]\n",
    "        for i in range(enrich.shape[0]):\n",
    "            enrich_genes = enrich.Genes[i].split(';')\n",
    "            shared_genes = [x for x in query_genes if x in enrich_genes]\n",
    "            total_path_genes = int(enrich.Overlap[i].split('/')[1])\n",
    "            enrich_coverage[phenotypes[j]][i] = len(shared_genes)/total_path_genes#len(enrich_genes)\n",
    "            enrich_coverage.index = enrich_coverage.Term\n",
    "    return enrich_coverage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gseapy.parser import Biomart\n",
    "\n",
    "bm = Biomart(verbose=False, host=\"europe.ensembl.org\")\n",
    "## view validated marts\n",
    "marts = bm.get_marts()\n",
    "## view validated dataset\n",
    "datasets = bm.get_datasets(mart='ENSEMBL_MART_ENSEMBL')\n",
    "## view validated attributes\n",
    "attrs = bm.get_attributes(dataset='hsapiens_gene_ensembl')\n",
    "## view validated filters\n",
    "filters = bm.get_filters(dataset='hsapiens_gene_ensembl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ENSEMBL_MART_ENSEMBL</td>\n",
       "      <td>Ensembl Genes 103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ENSEMBL_MART_MOUSE</td>\n",
       "      <td>Mouse strains 103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ENSEMBL_MART_SEQUENCE</td>\n",
       "      <td>Sequence</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ENSEMBL_MART_ONTOLOGY</td>\n",
       "      <td>Ontology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ENSEMBL_MART_GENOMIC</td>\n",
       "      <td>Genomic features 103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ENSEMBL_MART_SNP</td>\n",
       "      <td>Ensembl Variation 103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ENSEMBL_MART_FUNCGEN</td>\n",
       "      <td>Ensembl Regulation 103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Name             Description\n",
       "0   ENSEMBL_MART_ENSEMBL       Ensembl Genes 103\n",
       "1     ENSEMBL_MART_MOUSE       Mouse strains 103\n",
       "2  ENSEMBL_MART_SEQUENCE                Sequence\n",
       "3  ENSEMBL_MART_ONTOLOGY                Ontology\n",
       "4   ENSEMBL_MART_GENOMIC    Genomic features 103\n",
       "5       ENSEMBL_MART_SNP   Ensembl Variation 103\n",
       "6   ENSEMBL_MART_FUNCGEN  Ensembl Regulation 103"
      ]
     },
     "execution_count": 531,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "marts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate phenotype safety and toxicity in the SKO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 532,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Calculate phenotype toxicity and essentially  for the severity study\n",
    "\n",
    "sko = pd.read_csv('./KO_data/severity_SKO_All.csv')\n",
    "sko = sko.astype('object')\n",
    "sko[\"SKO_Unkown\"] =sko[\"SKO_Unkown\"].apply(lambda x: str(x).split('.')[0])\n",
    "sko.Series = sko.Series.str.upper()\n",
    "sko['RECON'] = sko.RECON.str.replace('.mat','').str.upper().str.replace('RECON','')\n",
    "sko['All_genes'] = sko.SKO_Safe.astype('str')+','+sko.SKO_Toxic.astype('str')+','+sko.SKO_Unkown.astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Series</th>\n",
       "      <th>RECON</th>\n",
       "      <th>SKO_Safe</th>\n",
       "      <th>SKO_Toxic</th>\n",
       "      <th>SKO_Unkown</th>\n",
       "      <th>All_genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>S16</td>\n",
       "      <td>2</td>\n",
       "      <td>1491,2987,51727,9791</td>\n",
       "      <td>259230,54675</td>\n",
       "      <td>6526</td>\n",
       "      <td>1491,2987,51727,9791,259230,54675,6526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>S16</td>\n",
       "      <td>3D</td>\n",
       "      <td>11136,2987,6519,9791</td>\n",
       "      <td>114134,5184,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>11136,2987,6519,9791,114134,5184,54675,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>S1</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10999,1491,259230,2987,51727,54675,6526</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan,10999,1491,259230,2987,51727,54675,6526,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>S1</td>\n",
       "      <td>3D</td>\n",
       "      <td>11136,6519</td>\n",
       "      <td>259230,2987,54675,9791</td>\n",
       "      <td>6526</td>\n",
       "      <td>11136,6519,259230,2987,54675,9791,6526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>S2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>259230,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan,259230,54675,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>S2</td>\n",
       "      <td>3D</td>\n",
       "      <td>23657,6520</td>\n",
       "      <td>259230,51477,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>23657,6520,259230,51477,54675,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>S5</td>\n",
       "      <td>2</td>\n",
       "      <td>1841</td>\n",
       "      <td>259230,2987,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>1841,259230,2987,54675,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>S5</td>\n",
       "      <td>3D</td>\n",
       "      <td>2987,5184</td>\n",
       "      <td>23657,259230,51477,54675,6520</td>\n",
       "      <td>nan</td>\n",
       "      <td>2987,5184,23657,259230,51477,54675,6520,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>S6</td>\n",
       "      <td>2</td>\n",
       "      <td>10999,1719,189,7298</td>\n",
       "      <td>259230,2987,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>10999,1719,189,7298,259230,2987,54675,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>S6</td>\n",
       "      <td>3D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>259230,2987,5184,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan,259230,2987,5184,54675,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>S7</td>\n",
       "      <td>2</td>\n",
       "      <td>10999,51727</td>\n",
       "      <td>259230,2987,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>10999,51727,259230,2987,54675,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>S7</td>\n",
       "      <td>3D</td>\n",
       "      <td>51727</td>\n",
       "      <td>259230,2987,5184,54675</td>\n",
       "      <td>nan</td>\n",
       "      <td>51727,259230,2987,5184,54675,nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Series RECON              SKO_Safe  \\\n",
       "0     S16     2  1491,2987,51727,9791   \n",
       "1     S16    3D  11136,2987,6519,9791   \n",
       "2      S1     2                   NaN   \n",
       "3      S1    3D            11136,6519   \n",
       "4      S2     2                   NaN   \n",
       "5      S2    3D            23657,6520   \n",
       "6      S5     2                  1841   \n",
       "7      S5    3D             2987,5184   \n",
       "8      S6     2   10999,1719,189,7298   \n",
       "9      S6    3D                   NaN   \n",
       "10     S7     2           10999,51727   \n",
       "11     S7    3D                 51727   \n",
       "\n",
       "                                  SKO_Toxic SKO_Unkown  \\\n",
       "0                              259230,54675       6526   \n",
       "1                         114134,5184,54675        nan   \n",
       "2   10999,1491,259230,2987,51727,54675,6526        nan   \n",
       "3                    259230,2987,54675,9791       6526   \n",
       "4                              259230,54675        nan   \n",
       "5                        259230,51477,54675        nan   \n",
       "6                         259230,2987,54675        nan   \n",
       "7             23657,259230,51477,54675,6520        nan   \n",
       "8                         259230,2987,54675        nan   \n",
       "9                    259230,2987,5184,54675        nan   \n",
       "10                        259230,2987,54675        nan   \n",
       "11                   259230,2987,5184,54675        nan   \n",
       "\n",
       "                                          All_genes  \n",
       "0            1491,2987,51727,9791,259230,54675,6526  \n",
       "1        11136,2987,6519,9791,114134,5184,54675,nan  \n",
       "2   nan,10999,1491,259230,2987,51727,54675,6526,nan  \n",
       "3            11136,6519,259230,2987,54675,9791,6526  \n",
       "4                              nan,259230,54675,nan  \n",
       "5                 23657,6520,259230,51477,54675,nan  \n",
       "6                        1841,259230,2987,54675,nan  \n",
       "7       2987,5184,23657,259230,51477,54675,6520,nan  \n",
       "8         10999,1719,189,7298,259230,2987,54675,nan  \n",
       "9                    nan,259230,2987,5184,54675,nan  \n",
       "10                10999,51727,259230,2987,54675,nan  \n",
       "11                 51727,259230,2987,5184,54675,nan  "
      ]
     },
     "execution_count": 533,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "metadata": {},
   "outputs": [],
   "source": [
    "sko_gene_list = sko.All_genes.tolist()\n",
    "sko_gene_list = [x.split(',') for x in sko_gene_list]\n",
    "sko_gene_list = np.unique(np.concatenate(sko_gene_list)).tolist()[:-1]\n",
    "results = bm.query(dataset='hsapiens_gene_ensembl', attributes=['entrezgene_id','hgnc_symbol'],#, 'go_id'],\n",
    "                      filters={'entrezgene_id': sko_gene_list})\n",
    "results =  results.dropna().drop_duplicates().reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 535,
   "metadata": {},
   "outputs": [],
   "source": [
    "sko_db = pd.DataFrame()\n",
    "sko_db['Gene_Symbol'] = int(0)\n",
    "sko_db['Genes'] = sko_gene_list\n",
    "sko_db['Phenotype_Essentiality'] = 0\n",
    "sko_db['Phenotype_Safety'] = int(0)\n",
    "for i in range(sko_db.shape[0]):\n",
    "    entrez = sko_gene_list[i]\n",
    "    gene = results.loc[results.entrezgene_id == int(entrez),'hgnc_symbol'].values[0]\n",
    "    sko_db.loc[i,'Gene_Symbol'] =  gene\n",
    "    sko_db.loc[i,'Phenotype_Essentiality'] = str(sko.All_genes).count(str(entrez))\n",
    "    sko_db.loc[i,'Phenotype_Safety'] = str(sko.SKO_Safe).count(str(entrez))\n",
    "sko_db.index = sko_db.Gene_Symbol\n",
    "sko_db.to_csv('KO_data/severity_SKO_Toxicity_Phenotype_db.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 536,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Genes</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SLC27A4</th>\n",
       "      <td>SLC27A4</td>\n",
       "      <td>10999</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A9</th>\n",
       "      <td>SLC7A9</td>\n",
       "      <td>11136</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC2A13</th>\n",
       "      <td>SLC2A13</td>\n",
       "      <td>114134</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CTH</th>\n",
       "      <td>CTH</td>\n",
       "      <td>1491</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHFR</th>\n",
       "      <td>DHFR</td>\n",
       "      <td>1719</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DTYMK</th>\n",
       "      <td>DTYMK</td>\n",
       "      <td>1841</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGXT</th>\n",
       "      <td>AGXT</td>\n",
       "      <td>189</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A11</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>23657</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGMS1</th>\n",
       "      <td>SGMS1</td>\n",
       "      <td>259230</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUK1</th>\n",
       "      <td>GUK1</td>\n",
       "      <td>2987</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISYNA1</th>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>51477</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPK1</th>\n",
       "      <td>CMPK1</td>\n",
       "      <td>51727</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PEPD</th>\n",
       "      <td>PEPD</td>\n",
       "      <td>5184</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRLS1</th>\n",
       "      <td>CRLS1</td>\n",
       "      <td>54675</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC3A1</th>\n",
       "      <td>SLC3A1</td>\n",
       "      <td>6519</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC3A2</th>\n",
       "      <td>SLC3A2</td>\n",
       "      <td>6520</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC5A3</th>\n",
       "      <td>SLC5A3</td>\n",
       "      <td>6526</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TYMS</th>\n",
       "      <td>TYMS</td>\n",
       "      <td>7298</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTDSS1</th>\n",
       "      <td>PTDSS1</td>\n",
       "      <td>9791</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Gene_Symbol   Genes  Phenotype_Essentiality  Phenotype_Safety\n",
       "Gene_Symbol                                                              \n",
       "SLC27A4         SLC27A4   10999                       3                 2\n",
       "SLC7A9           SLC7A9   11136                       2                 2\n",
       "SLC2A13         SLC2A13  114134                       1                 0\n",
       "CTH                 CTH    1491                       2                 1\n",
       "DHFR               DHFR    1719                       1                 1\n",
       "DTYMK             DTYMK    1841                       1                 1\n",
       "AGXT               AGXT     189                       1                 1\n",
       "SLC7A11         SLC7A11   23657                       2                 1\n",
       "SGMS1             SGMS1  259230                      11                 0\n",
       "GUK1               GUK1    2987                      10                 3\n",
       "ISYNA1           ISYNA1   51477                       2                 0\n",
       "CMPK1             CMPK1   51727                       4                 3\n",
       "PEPD               PEPD    5184                       4                 1\n",
       "CRLS1             CRLS1   54675                      12                 0\n",
       "SLC3A1           SLC3A1    6519                       2                 2\n",
       "SLC3A2           SLC3A2    6520                       2                 1\n",
       "SLC5A3           SLC5A3    6526                       3                 0\n",
       "TYMS               TYMS    7298                       1                 1\n",
       "PTDSS1           PTDSS1    9791                       3                 2"
      ]
     },
     "execution_count": 536,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko_db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 537,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Calculate phenotype toxicity and essentially  for the timeseries study\n",
    "sko = pd.read_csv('./KO_data/timeseries_SKO_All.csv')\n",
    "sko = sko.astype('object')\n",
    "sko.Series = sko.Series.str.upper()\n",
    "sko['RECON'] = sko.RECON.str.replace('.mat','').str.upper().str.replace('RECON','')\n",
    "sko['All_genes'] = sko.SKO_Safe.astype('str')+','+sko.SKO_Toxic.astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 538,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Series</th>\n",
       "      <th>RECON</th>\n",
       "      <th>SKO_Safe</th>\n",
       "      <th>SKO_Toxic</th>\n",
       "      <th>SKO_Unknown</th>\n",
       "      <th>All_genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CALU3_12H</td>\n",
       "      <td>2</td>\n",
       "      <td>10999,51477</td>\n",
       "      <td>259230,2987,54675,8140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10999,51477,259230,2987,54675,8140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CALU3_12H</td>\n",
       "      <td>3D</td>\n",
       "      <td>8140</td>\n",
       "      <td>23657,259230,2987,51477,5184,54675,6520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8140,23657,259230,2987,51477,5184,54675,6520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CALU3_24H</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10999,259230,2987,51477,54675,8140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan,10999,259230,2987,51477,54675,8140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CALU3_24H</td>\n",
       "      <td>3D</td>\n",
       "      <td>9791</td>\n",
       "      <td>23657,2987,51228,51477,54675,6520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9791,23657,2987,51228,51477,54675,6520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CALU3_4H</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10999,259230,2987,54675</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan,10999,259230,2987,54675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CALU3_4H</td>\n",
       "      <td>3D</td>\n",
       "      <td>51228</td>\n",
       "      <td>23657,259230,2987,51477,5184,54675,6520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51228,23657,259230,2987,51477,5184,54675,6520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CALU3_8H</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54675,8140,2987,10999,259230</td>\n",
       "      <td>nan,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CALU3_8H</td>\n",
       "      <td>3D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6520,54675,23657,51477,259230,5184,2987,51228</td>\n",
       "      <td>nan,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>H1299_12H</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9057,54675,1491,10999,5338,259230</td>\n",
       "      <td>nan,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>H1299_12H</td>\n",
       "      <td>3D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54675,51477,259230,5184</td>\n",
       "      <td>nan,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>H1299_24H</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9057,54675,10999,5338,259230</td>\n",
       "      <td>nan,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>H1299_24H</td>\n",
       "      <td>3D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54675,51477,259230,5184</td>\n",
       "      <td>nan,nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>H1299_36H</td>\n",
       "      <td>2</td>\n",
       "      <td>9057</td>\n",
       "      <td>10999,1491,259230,5338,54675</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9057,10999,1491,259230,5338,54675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>H1299_36H</td>\n",
       "      <td>3D</td>\n",
       "      <td>5184</td>\n",
       "      <td>259230,51477,54675</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5184,259230,51477,54675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>H1299_4H</td>\n",
       "      <td>2</td>\n",
       "      <td>1491</td>\n",
       "      <td>10999,259230,5338,54675,9057</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1491,10999,259230,5338,54675,9057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>H1299_4H</td>\n",
       "      <td>3D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>259230,51477,54675</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan,259230,51477,54675</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Series RECON     SKO_Safe                                SKO_Toxic  \\\n",
       "0   CALU3_12H     2  10999,51477                   259230,2987,54675,8140   \n",
       "1   CALU3_12H    3D         8140  23657,259230,2987,51477,5184,54675,6520   \n",
       "2   CALU3_24H     2          NaN       10999,259230,2987,51477,54675,8140   \n",
       "3   CALU3_24H    3D         9791        23657,2987,51228,51477,54675,6520   \n",
       "4    CALU3_4H     2          NaN                  10999,259230,2987,54675   \n",
       "5    CALU3_4H    3D        51228  23657,259230,2987,51477,5184,54675,6520   \n",
       "6    CALU3_8H     2          NaN                                      NaN   \n",
       "7    CALU3_8H    3D          NaN                                      NaN   \n",
       "8   H1299_12H     2          NaN                                      NaN   \n",
       "9   H1299_12H    3D          NaN                                      NaN   \n",
       "10  H1299_24H     2          NaN                                      NaN   \n",
       "11  H1299_24H    3D          NaN                                      NaN   \n",
       "12  H1299_36H     2         9057             10999,1491,259230,5338,54675   \n",
       "13  H1299_36H    3D         5184                       259230,51477,54675   \n",
       "14   H1299_4H     2         1491             10999,259230,5338,54675,9057   \n",
       "15   H1299_4H    3D          NaN                       259230,51477,54675   \n",
       "\n",
       "                                      SKO_Unknown  \\\n",
       "0                                             NaN   \n",
       "1                                             NaN   \n",
       "2                                             NaN   \n",
       "3                                             NaN   \n",
       "4                                             NaN   \n",
       "5                                             NaN   \n",
       "6                    54675,8140,2987,10999,259230   \n",
       "7   6520,54675,23657,51477,259230,5184,2987,51228   \n",
       "8               9057,54675,1491,10999,5338,259230   \n",
       "9                         54675,51477,259230,5184   \n",
       "10                   9057,54675,10999,5338,259230   \n",
       "11                        54675,51477,259230,5184   \n",
       "12                                            NaN   \n",
       "13                                            NaN   \n",
       "14                                            NaN   \n",
       "15                                            NaN   \n",
       "\n",
       "                                        All_genes  \n",
       "0              10999,51477,259230,2987,54675,8140  \n",
       "1    8140,23657,259230,2987,51477,5184,54675,6520  \n",
       "2          nan,10999,259230,2987,51477,54675,8140  \n",
       "3          9791,23657,2987,51228,51477,54675,6520  \n",
       "4                     nan,10999,259230,2987,54675  \n",
       "5   51228,23657,259230,2987,51477,5184,54675,6520  \n",
       "6                                         nan,nan  \n",
       "7                                         nan,nan  \n",
       "8                                         nan,nan  \n",
       "9                                         nan,nan  \n",
       "10                                        nan,nan  \n",
       "11                                        nan,nan  \n",
       "12              9057,10999,1491,259230,5338,54675  \n",
       "13                        5184,259230,51477,54675  \n",
       "14              1491,10999,259230,5338,54675,9057  \n",
       "15                         nan,259230,51477,54675  "
      ]
     },
     "execution_count": 538,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 539,
   "metadata": {},
   "outputs": [],
   "source": [
    "sko_gene_list = sko.All_genes.tolist()\n",
    "sko_gene_list = [x.split(',') for x in sko_gene_list]\n",
    "sko_gene_list = np.unique(np.concatenate(sko_gene_list)).tolist()[:-1]\n",
    "results = bm.query(dataset='hsapiens_gene_ensembl', attributes=['entrezgene_id','hgnc_symbol'],#, 'go_id'],\n",
    "                      filters={'entrezgene_id': sko_gene_list})\n",
    "results =  results.dropna().drop_duplicates().reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 540,
   "metadata": {},
   "outputs": [],
   "source": [
    "sko_db = pd.DataFrame()\n",
    "sko_db['Gene_Symbol'] = int(0)\n",
    "sko_db['Genes'] = sko_gene_list\n",
    "sko_db['Phenotype_Essentiality'] = 0\n",
    "sko_db['Phenotype_Safety'] = int(0)\n",
    "for i in range(sko_db.shape[0]):\n",
    "    entrez = sko_gene_list[i]\n",
    "    gene = results.loc[results.entrezgene_id == int(entrez),'hgnc_symbol'].values[0]\n",
    "    sko_db.loc[i,'Gene_Symbol'] =  gene\n",
    "    sko_db.loc[i,'Phenotype_Essentiality'] = str(sko.All_genes).count(str(entrez))\n",
    "    sko_db.loc[i,'Phenotype_Safety'] = str(sko.SKO_Safe).count(str(entrez))\n",
    "sko_db.index = sko_db.Gene_Symbol\n",
    "sko_db.to_csv('KO_data/timeseries_SKO_Toxicity_Phenotype_db.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 541,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Genes</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SLC27A4</th>\n",
       "      <td>SLC27A4</td>\n",
       "      <td>10999</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CTH</th>\n",
       "      <td>CTH</td>\n",
       "      <td>1491</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A11</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>23657</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGMS1</th>\n",
       "      <td>SGMS1</td>\n",
       "      <td>259230</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUK1</th>\n",
       "      <td>GUK1</td>\n",
       "      <td>2987</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLTP</th>\n",
       "      <td>GLTP</td>\n",
       "      <td>51228</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISYNA1</th>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>51477</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PEPD</th>\n",
       "      <td>PEPD</td>\n",
       "      <td>5184</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLD2</th>\n",
       "      <td>PLD2</td>\n",
       "      <td>5338</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRLS1</th>\n",
       "      <td>CRLS1</td>\n",
       "      <td>54675</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC3A2</th>\n",
       "      <td>SLC3A2</td>\n",
       "      <td>6520</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A5</th>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>8140</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A6</th>\n",
       "      <td>SLC7A6</td>\n",
       "      <td>9057</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTDSS1</th>\n",
       "      <td>PTDSS1</td>\n",
       "      <td>9791</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Gene_Symbol   Genes  Phenotype_Essentiality  Phenotype_Safety\n",
       "Gene_Symbol                                                              \n",
       "SLC27A4         SLC27A4   10999                       5                 1\n",
       "CTH                 CTH    1491                       2                 1\n",
       "SLC7A11         SLC7A11   23657                       3                 0\n",
       "SGMS1             SGMS1  259230                       9                 0\n",
       "GUK1               GUK1    2987                       6                 0\n",
       "GLTP               GLTP   51228                       2                 1\n",
       "ISYNA1           ISYNA1   51477                       7                 1\n",
       "PEPD               PEPD    5184                       3                 1\n",
       "PLD2               PLD2    5338                       2                 0\n",
       "CRLS1             CRLS1   54675                      10                 0\n",
       "SLC3A2           SLC3A2    6520                       3                 0\n",
       "SLC7A5           SLC7A5    8140                       3                 1\n",
       "SLC7A6           SLC7A6    9057                       2                 1\n",
       "PTDSS1           PTDSS1    9791                       1                 1"
      ]
     },
     "execution_count": 541,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko_db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Merge the 2 lung studies\n",
    "lung_1 =pd.read_csv('KO_data/severity_SKO_Toxicity_Phenotype_db.csv')\n",
    "lung_2 =pd.read_csv('KO_data/timeseries_SKO_Toxicity_Phenotype_db.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genes</th>\n",
       "      <th>Phenotype_Safety_x</th>\n",
       "      <th>Phenotype_Essentiality_x</th>\n",
       "      <th>Phenotype_Safety_y</th>\n",
       "      <th>Phenotype_Essentiality_y</th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CRLS1</th>\n",
       "      <td>54675</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>CRLS1</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGMS1</th>\n",
       "      <td>259230</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>SGMS1</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUK1</th>\n",
       "      <td>2987</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISYNA1</th>\n",
       "      <td>51477</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC27A4</th>\n",
       "      <td>10999</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>SLC27A4</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PEPD</th>\n",
       "      <td>5184</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>PEPD</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC3A2</th>\n",
       "      <td>6520</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC3A2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A11</th>\n",
       "      <td>23657</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTDSS1</th>\n",
       "      <td>9791</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PTDSS1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPK1</th>\n",
       "      <td>51727</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CTH</th>\n",
       "      <td>1491</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC5A3</th>\n",
       "      <td>6526</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC5A3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A5</th>\n",
       "      <td>8140</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A9</th>\n",
       "      <td>11136</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC7A9</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC3A1</th>\n",
       "      <td>6519</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC3A1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLTP</th>\n",
       "      <td>51228</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GLTP</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLD2</th>\n",
       "      <td>5338</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>PLD2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A6</th>\n",
       "      <td>9057</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>SLC7A6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGXT</th>\n",
       "      <td>189</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>AGXT</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DTYMK</th>\n",
       "      <td>1841</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DTYMK</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHFR</th>\n",
       "      <td>1719</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TYMS</th>\n",
       "      <td>7298</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC2A13</th>\n",
       "      <td>114134</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC2A13</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Genes  Phenotype_Safety_x  Phenotype_Essentiality_x  \\\n",
       "Gene_Symbol                                                         \n",
       "CRLS1         54675                 0.0                      12.0   \n",
       "SGMS1        259230                 0.0                      11.0   \n",
       "GUK1           2987                 3.0                      10.0   \n",
       "ISYNA1        51477                 0.0                       2.0   \n",
       "SLC27A4       10999                 2.0                       3.0   \n",
       "PEPD           5184                 1.0                       4.0   \n",
       "SLC3A2         6520                 1.0                       2.0   \n",
       "SLC7A11       23657                 1.0                       2.0   \n",
       "PTDSS1         9791                 2.0                       3.0   \n",
       "CMPK1         51727                 3.0                       4.0   \n",
       "CTH            1491                 1.0                       2.0   \n",
       "SLC5A3         6526                 0.0                       3.0   \n",
       "SLC7A5         8140                 0.0                       0.0   \n",
       "SLC7A9        11136                 2.0                       2.0   \n",
       "SLC3A1         6519                 2.0                       2.0   \n",
       "GLTP          51228                 0.0                       0.0   \n",
       "PLD2           5338                 0.0                       0.0   \n",
       "SLC7A6         9057                 0.0                       0.0   \n",
       "AGXT            189                 1.0                       1.0   \n",
       "DTYMK          1841                 1.0                       1.0   \n",
       "DHFR           1719                 1.0                       1.0   \n",
       "TYMS           7298                 1.0                       1.0   \n",
       "SLC2A13      114134                 0.0                       1.0   \n",
       "\n",
       "             Phenotype_Safety_y  Phenotype_Essentiality_y Gene_Symbol  \\\n",
       "Gene_Symbol                                                             \n",
       "CRLS1                       0.0                      10.0       CRLS1   \n",
       "SGMS1                       0.0                       9.0       SGMS1   \n",
       "GUK1                        0.0                       6.0        GUK1   \n",
       "ISYNA1                      1.0                       7.0      ISYNA1   \n",
       "SLC27A4                     1.0                       5.0     SLC27A4   \n",
       "PEPD                        1.0                       3.0        PEPD   \n",
       "SLC3A2                      0.0                       3.0      SLC3A2   \n",
       "SLC7A11                     0.0                       3.0     SLC7A11   \n",
       "PTDSS1                      1.0                       1.0      PTDSS1   \n",
       "CMPK1                       0.0                       0.0       CMPK1   \n",
       "CTH                         1.0                       2.0         CTH   \n",
       "SLC5A3                      0.0                       0.0      SLC5A3   \n",
       "SLC7A5                      1.0                       3.0      SLC7A5   \n",
       "SLC7A9                      0.0                       0.0      SLC7A9   \n",
       "SLC3A1                      0.0                       0.0      SLC3A1   \n",
       "GLTP                        1.0                       2.0        GLTP   \n",
       "PLD2                        0.0                       2.0        PLD2   \n",
       "SLC7A6                      1.0                       2.0      SLC7A6   \n",
       "AGXT                        0.0                       0.0        AGXT   \n",
       "DTYMK                       0.0                       0.0       DTYMK   \n",
       "DHFR                        0.0                       0.0        DHFR   \n",
       "TYMS                        0.0                       0.0        TYMS   \n",
       "SLC2A13                     0.0                       0.0     SLC2A13   \n",
       "\n",
       "             Phenotype_Essentiality  Phenotype_Safety  \n",
       "Gene_Symbol                                            \n",
       "CRLS1                            22                 1  \n",
       "SGMS1                            20                 1  \n",
       "GUK1                             16                 3  \n",
       "ISYNA1                            9                 1  \n",
       "SLC27A4                           8                 3  \n",
       "PEPD                              7                 2  \n",
       "SLC3A2                            5                 1  \n",
       "SLC7A11                           5                 1  \n",
       "PTDSS1                            4                 3  \n",
       "CMPK1                             4                 3  \n",
       "CTH                               4                 2  \n",
       "SLC5A3                            3                 1  \n",
       "SLC7A5                            3                 1  \n",
       "SLC7A9                            2                 2  \n",
       "SLC3A1                            2                 2  \n",
       "GLTP                              2                 1  \n",
       "PLD2                              2                 1  \n",
       "SLC7A6                            2                 1  \n",
       "AGXT                              1                 1  \n",
       "DTYMK                             1                 1  \n",
       "DHFR                              1                 1  \n",
       "TYMS                              1                 1  \n",
       "SLC2A13                           1                 1  "
      ]
     },
     "execution_count": 543,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final = pd.merge(lung_1, lung_2, on = ['Genes','Gene_Symbol'], how = 'outer')#lung_1.merge(lung_2, left_on='Genes', right_on='Genes')\n",
    "df_final.index = df_final.Gene_Symbol\n",
    "df_final = df_final.fillna(0)\n",
    "df_final = df_final.loc[:,['Genes','Phenotype_Safety_x','Phenotype_Essentiality_x','Phenotype_Safety_y','Phenotype_Essentiality_y','Gene_Symbol']]\n",
    "df_final['Phenotype_Essentiality'] = df_final['Phenotype_Essentiality_x']+ df_final['Phenotype_Essentiality_y']\n",
    "df_final['Phenotype_Safety'] = df_final['Phenotype_Safety_x']+ df_final['Phenotype_Safety_y']\n",
    "#df = df.drop(columns =['Gene_Symbol'])\n",
    "df_final.iloc[:,-2:] = df_final.iloc[:,-2:].astype('int')\n",
    "df_final = df_final.sort_values('Phenotype_Essentiality',ascending=False)\n",
    "# Replacing 0 by 1 since the count was taken by average of the 2 recon models\n",
    "#df_final['Phenotype_Essentiality'] = df_final['Phenotype_Essentiality'].replace(0,1)\n",
    "#df_final['Phenotype_Essentiality'] = df_final['Phenotype_Essentiality'].replace(-1,1)\n",
    "\n",
    "df_final['Phenotype_Safety'] = df_final['Phenotype_Safety'].replace(0,1)\n",
    "\n",
    "df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 544,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genes</th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CRLS1</th>\n",
       "      <td>54675</td>\n",
       "      <td>CRLS1</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGMS1</th>\n",
       "      <td>259230</td>\n",
       "      <td>SGMS1</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUK1</th>\n",
       "      <td>2987</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISYNA1</th>\n",
       "      <td>51477</td>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC27A4</th>\n",
       "      <td>10999</td>\n",
       "      <td>SLC27A4</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PEPD</th>\n",
       "      <td>5184</td>\n",
       "      <td>PEPD</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC3A2</th>\n",
       "      <td>6520</td>\n",
       "      <td>SLC3A2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A11</th>\n",
       "      <td>23657</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTDSS1</th>\n",
       "      <td>9791</td>\n",
       "      <td>PTDSS1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPK1</th>\n",
       "      <td>51727</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CTH</th>\n",
       "      <td>1491</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC5A3</th>\n",
       "      <td>6526</td>\n",
       "      <td>SLC5A3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A5</th>\n",
       "      <td>8140</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A9</th>\n",
       "      <td>11136</td>\n",
       "      <td>SLC7A9</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC3A1</th>\n",
       "      <td>6519</td>\n",
       "      <td>SLC3A1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLTP</th>\n",
       "      <td>51228</td>\n",
       "      <td>GLTP</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLD2</th>\n",
       "      <td>5338</td>\n",
       "      <td>PLD2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A6</th>\n",
       "      <td>9057</td>\n",
       "      <td>SLC7A6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGXT</th>\n",
       "      <td>189</td>\n",
       "      <td>AGXT</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DTYMK</th>\n",
       "      <td>1841</td>\n",
       "      <td>DTYMK</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHFR</th>\n",
       "      <td>1719</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TYMS</th>\n",
       "      <td>7298</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC2A13</th>\n",
       "      <td>114134</td>\n",
       "      <td>SLC2A13</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Genes Gene_Symbol  Phenotype_Essentiality  Phenotype_Safety\n",
       "Gene_Symbol                                                              \n",
       "CRLS1         54675       CRLS1                      22                 1\n",
       "SGMS1        259230       SGMS1                      20                 1\n",
       "GUK1           2987        GUK1                      16                 3\n",
       "ISYNA1        51477      ISYNA1                       9                 1\n",
       "SLC27A4       10999     SLC27A4                       8                 3\n",
       "PEPD           5184        PEPD                       7                 2\n",
       "SLC3A2         6520      SLC3A2                       5                 1\n",
       "SLC7A11       23657     SLC7A11                       5                 1\n",
       "PTDSS1         9791      PTDSS1                       4                 3\n",
       "CMPK1         51727       CMPK1                       4                 3\n",
       "CTH            1491         CTH                       4                 2\n",
       "SLC5A3         6526      SLC5A3                       3                 1\n",
       "SLC7A5         8140      SLC7A5                       3                 1\n",
       "SLC7A9        11136      SLC7A9                       2                 2\n",
       "SLC3A1         6519      SLC3A1                       2                 2\n",
       "GLTP          51228        GLTP                       2                 1\n",
       "PLD2           5338        PLD2                       2                 1\n",
       "SLC7A6         9057      SLC7A6                       2                 1\n",
       "AGXT            189        AGXT                       1                 1\n",
       "DTYMK          1841       DTYMK                       1                 1\n",
       "DHFR           1719        DHFR                       1                 1\n",
       "TYMS           7298        TYMS                       1                 1\n",
       "SLC2A13      114134     SLC2A13                       1                 1"
      ]
     },
     "execution_count": 544,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.loc[:,['Genes','Gene_Symbol','Phenotype_Essentiality','Phenotype_Safety']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 545,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.loc[:,['Genes','Gene_Symbol','Phenotype_Essentiality','Phenotype_Safety']].to_csv('SKO_ALL_Studies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 546,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['CRLS1', 'SGMS1', 'GUK1', 'ISYNA1', 'SLC27A4', 'PEPD', 'SLC3A2',\n",
       "       'SLC7A11', 'PTDSS1', 'CMPK1', 'CTH', 'SLC5A3', 'SLC7A5', 'SLC7A9',\n",
       "       'SLC3A1', 'GLTP', 'PLD2', 'SLC7A6', 'AGXT', 'DTYMK', 'DHFR', 'TYMS',\n",
       "       'SLC2A13'],\n",
       "      dtype='object', name='Gene_Symbol')"
      ]
     },
     "execution_count": 546,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Genes from both lung studies\n",
    "df_final.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 547,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(23, 8)"
      ]
     },
     "execution_count": 547,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SKO Drug Repurposing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 570,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drugbank_id</th>\n",
       "      <th>category</th>\n",
       "      <th>uniprot_id</th>\n",
       "      <th>entrez_gene_id</th>\n",
       "      <th>organism</th>\n",
       "      <th>known_action</th>\n",
       "      <th>actions</th>\n",
       "      <th>pubmed_ids</th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "      <th>groups</th>\n",
       "      <th>atc_codes</th>\n",
       "      <th>categories</th>\n",
       "      <th>description</th>\n",
       "      <th>hgnc_symbol</th>\n",
       "      <th>umls_cui_from_meddra</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DB00001</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>yes</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lepirudin</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved</td>\n",
       "      <td>B01AE02</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anticoagul...</td>\n",
       "      <td>Lepirudin is identical to natural hirudin exce...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DB00006</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>yes</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bivalirudin</td>\n",
       "      <td>small molecule</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>B01AE06</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anticoagul...</td>\n",
       "      <td>Bivalirudin is a synthetic 20 residue peptide ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DB00025</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>unknown</td>\n",
       "      <td>activator</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antihemophilic factor, human recombinant</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>B02BD02</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Biological...</td>\n",
       "      <td>Human recombinant antihemophilic factor (AHF) ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DB00055</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>unknown</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drotrecogin alfa</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved|investigational|withdrawn</td>\n",
       "      <td>B01AD10</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anti-Infec...</td>\n",
       "      <td>Drotrecogin alfa is activated human protein C ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DB00100</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>unknown</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Coagulation Factor IX (Recombinant)</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Blood Coagulation Factors|Hemostatics|Increase...</td>\n",
       "      <td>Recombinant Coagulation Factor IX is a purifie...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  drugbank_id category uniprot_id  entrez_gene_id organism known_action  \\\n",
       "0     DB00001   target     P00734            2147   Humans          yes   \n",
       "1     DB00006   target     P00734            2147   Humans          yes   \n",
       "2     DB00025   enzyme     P00734            2147   Humans      unknown   \n",
       "3     DB00055   target     P00734            2147   Humans      unknown   \n",
       "4     DB00100   target     P00734            2147   Humans      unknown   \n",
       "\n",
       "     actions  pubmed_ids                                      name  \\\n",
       "0  inhibitor         NaN                                 Lepirudin   \n",
       "1  inhibitor         NaN                               Bivalirudin   \n",
       "2  activator         NaN  Antihemophilic factor, human recombinant   \n",
       "3        NaN         NaN                          Drotrecogin alfa   \n",
       "4        NaN         NaN       Coagulation Factor IX (Recombinant)   \n",
       "\n",
       "             type                              groups atc_codes  \\\n",
       "0         biotech                            approved   B01AE02   \n",
       "1  small molecule            approved|investigational   B01AE06   \n",
       "2         biotech            approved|investigational   B02BD02   \n",
       "3         biotech  approved|investigational|withdrawn   B01AD10   \n",
       "4         biotech            approved|investigational       NaN   \n",
       "\n",
       "                                          categories  \\\n",
       "0  Amino Acids, Peptides, and Proteins|Anticoagul...   \n",
       "1  Amino Acids, Peptides, and Proteins|Anticoagul...   \n",
       "2  Amino Acids, Peptides, and Proteins|Biological...   \n",
       "3  Amino Acids, Peptides, and Proteins|Anti-Infec...   \n",
       "4  Blood Coagulation Factors|Hemostatics|Increase...   \n",
       "\n",
       "                                         description hgnc_symbol  \\\n",
       "0  Lepirudin is identical to natural hirudin exce...         RET   \n",
       "1  Bivalirudin is a synthetic 20 residue peptide ...         RET   \n",
       "2  Human recombinant antihemophilic factor (AHF) ...         RET   \n",
       "3  Drotrecogin alfa is activated human protein C ...         RET   \n",
       "4  Recombinant Coagulation Factor IX is a purifie...         RET   \n",
       "\n",
       "  umls_cui_from_meddra side_effect_name Meddra_Indication  \n",
       "0                  NaN              NaN               NaN  \n",
       "1                  NaN              NaN               NaN  \n",
       "2                  NaN              NaN               NaN  \n",
       "3                  NaN              NaN               NaN  \n",
       "4                  NaN              NaN               NaN  "
      ]
     },
     "execution_count": 570,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drug Repurposing\n",
    "drugbank_df  =pd.read_csv('./DrugBank_Drug_Target_Toxicity_Only_Indication.csv',sep=',',index_col=0)\n",
    "#drugbank_df = drugbank_df.drop(columns = ['drugbank_id.1'])\n",
    "drugbank_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 571,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace drug name for large name by drug id\n",
    "drugbank_df.loc[drugbank_df.name.apply(lambda x:len(x))>30,'name'] =drugbank_df.loc[drugbank_df.name.apply(lambda x:len(x))>30,'drugbank_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 572,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Since the same drug different approval groups on different entries, we will unify them by concatenating\n",
    "drugbank_drugs = np.unique(drugbank_df.name)\n",
    "for drug in drugbank_drugs:\n",
    "    drugbank_df.loc[drugbank_df.name ==drug,'groups'] = '|'.join(np.unique(drugbank_df.loc[drugbank_df.name ==drug,'groups']).tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 551,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drugbank_id</th>\n",
       "      <th>category</th>\n",
       "      <th>uniprot_id</th>\n",
       "      <th>entrez_gene_id</th>\n",
       "      <th>organism</th>\n",
       "      <th>known_action</th>\n",
       "      <th>actions</th>\n",
       "      <th>pubmed_ids</th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "      <th>groups</th>\n",
       "      <th>atc_codes</th>\n",
       "      <th>categories</th>\n",
       "      <th>description</th>\n",
       "      <th>hgnc_symbol</th>\n",
       "      <th>umls_cui_from_meddra</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DB00001</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>yes</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lepirudin</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved</td>\n",
       "      <td>B01AE02</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anticoagul...</td>\n",
       "      <td>Lepirudin is identical to natural hirudin exce...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DB00006</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>yes</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bivalirudin</td>\n",
       "      <td>small molecule</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>B01AE06</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anticoagul...</td>\n",
       "      <td>Bivalirudin is a synthetic 20 residue peptide ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DB00025</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>unknown</td>\n",
       "      <td>activator</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DB00025</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>B02BD02</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Biological...</td>\n",
       "      <td>Human recombinant antihemophilic factor (AHF) ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DB00055</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>unknown</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drotrecogin alfa</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved|investigational|withdrawn</td>\n",
       "      <td>B01AD10</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anti-Infec...</td>\n",
       "      <td>Drotrecogin alfa is activated human protein C ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DB00100</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>unknown</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DB00100</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Blood Coagulation Factors|Hemostatics|Increase...</td>\n",
       "      <td>Recombinant Coagulation Factor IX is a purifie...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  drugbank_id category uniprot_id  entrez_gene_id organism known_action  \\\n",
       "0     DB00001   target     P00734            2147   Humans          yes   \n",
       "1     DB00006   target     P00734            2147   Humans          yes   \n",
       "2     DB00025   enzyme     P00734            2147   Humans      unknown   \n",
       "3     DB00055   target     P00734            2147   Humans      unknown   \n",
       "4     DB00100   target     P00734            2147   Humans      unknown   \n",
       "\n",
       "     actions  pubmed_ids              name            type  \\\n",
       "0  inhibitor         NaN         Lepirudin         biotech   \n",
       "1  inhibitor         NaN       Bivalirudin  small molecule   \n",
       "2  activator         NaN           DB00025         biotech   \n",
       "3        NaN         NaN  Drotrecogin alfa         biotech   \n",
       "4        NaN         NaN           DB00100         biotech   \n",
       "\n",
       "                               groups atc_codes  \\\n",
       "0                            approved   B01AE02   \n",
       "1            approved|investigational   B01AE06   \n",
       "2            approved|investigational   B02BD02   \n",
       "3  approved|investigational|withdrawn   B01AD10   \n",
       "4            approved|investigational       NaN   \n",
       "\n",
       "                                          categories  \\\n",
       "0  Amino Acids, Peptides, and Proteins|Anticoagul...   \n",
       "1  Amino Acids, Peptides, and Proteins|Anticoagul...   \n",
       "2  Amino Acids, Peptides, and Proteins|Biological...   \n",
       "3  Amino Acids, Peptides, and Proteins|Anti-Infec...   \n",
       "4  Blood Coagulation Factors|Hemostatics|Increase...   \n",
       "\n",
       "                                         description hgnc_symbol  \\\n",
       "0  Lepirudin is identical to natural hirudin exce...         RET   \n",
       "1  Bivalirudin is a synthetic 20 residue peptide ...         RET   \n",
       "2  Human recombinant antihemophilic factor (AHF) ...         RET   \n",
       "3  Drotrecogin alfa is activated human protein C ...         RET   \n",
       "4  Recombinant Coagulation Factor IX is a purifie...         RET   \n",
       "\n",
       "  umls_cui_from_meddra side_effect_name Meddra_Indication  \n",
       "0                  NaN              NaN               NaN  \n",
       "1                  NaN              NaN               NaN  \n",
       "2                  NaN              NaN               NaN  \n",
       "3                  NaN              NaN               NaN  \n",
       "4                  NaN              NaN               NaN  "
      ]
     },
     "execution_count": 551,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drugbank_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 552,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drugbank_df_inhibitor = drugbank_df.loc[drugbank_df.actions.astype('str').str.contains('inhibitor'),:]\n",
    "#drugbank_df_inducer = drugbank_df.loc[drugbank_df.actions.astype('str').str.contains('inducer'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 553,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Map full gene name describtion\n",
    "#gene_desc = drugbank_df[['SYMBOL','entrez_gene_id','Name']].drop_duplicates()\n",
    "#gene_desc = gene_desc.dropna()\n",
    "#gene_desc.entrez_gene_id= gene_desc.entrez_gene_id.apply(lambda x: int(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 573,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.Genes = df_final.Genes.astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 588,
   "metadata": {},
   "outputs": [],
   "source": [
    "gtex_db = df_final #pd.concat([sko_db_safe,sko_db_some_toxic])\n",
    "df = pd.DataFrame(np.zeros((10000,len(gtex_db.columns))),columns = gtex_db.columns)\n",
    "df['Drugs']= 0\n",
    "df['Drugs_Action'] = 0\n",
    "df['Gene_Symbol'] = 0\n",
    "#df = df.astype('object')\n",
    "k = 0\n",
    "for i in range(gtex_db.shape[0]):\n",
    "    gene = gtex_db.iloc[i,0]\n",
    "    if gene in drugbank_df.entrez_gene_id.tolist():\n",
    "        drugs = list(set(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'name']))\n",
    "        gene_drugs_df = drugbank_df.loc[drugbank_df.entrez_gene_id==gene,:]\n",
    "        for l in range(len(drugs)):\n",
    "            df.loc[k,'Genes'] = gene\n",
    "            df.iloc[k,1:] = gtex_db.iloc[i,1:]\n",
    "\n",
    "            df.loc[k,'Drugs'] = drugs[l]\n",
    "            df.loc[k,'Drugs_Action'] = gene_drugs_df.loc[gene_drugs_df.name==drugs[l],'actions'].values[0]\n",
    "            #df.loc[k,'Gene_Symbol'] = list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'hgnc_symbol'])[l]\n",
    "            df.loc[k,'Drugs_Group'] =  gene_drugs_df.loc[gene_drugs_df.name==drugs[l],'groups'].values[0] #list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'groups'])[l]\n",
    "            df.loc[k,'ATC_Code'] = gene_drugs_df.loc[gene_drugs_df.name==drugs[l],'atc_codes'].values[0] #list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'atc_codes'])[l]\n",
    "            df.loc[k,'Gene_Categories'] = gene_drugs_df.loc[gene_drugs_df.name==drugs[l],'category'].values[0]#list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'category'])[l]\n",
    "            df.loc[k,'Drugs_Categories'] = gene_drugs_df.loc[gene_drugs_df.name==drugs[l],'categories'].values[0]#list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'categories'])[l]\n",
    "            df.loc[k,'side_effect_name'] = gene_drugs_df.loc[gene_drugs_df.name==drugs[l],'side_effect_name'].values[0]#list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'side_effect_name'])[l]\n",
    "            df.loc[k,'Meddra_Indication'] = gene_drugs_df.loc[gene_drugs_df.name==drugs[l],'Meddra_Indication'].values[0]#list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'Meddra_Indication'])[l]\n",
    "\n",
    "            #df.loc[k,'Gene_Name'] = list(drugbank_df.loc[drugbank_df.entrez_gene_id==gene,'Name'])[l]\n",
    "            k = k+1\n",
    "    else:\n",
    "        pass\n",
    "df = df.loc[df.Drugs!=0,:]\n",
    "#df.to_csv('Drug_Repurposing_Results/GTEx_SKO_Safe_Drugs.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 589,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final['Gene_Symbol'] = df_final.index\n",
    "df['Gene_Symbol'] = df.Genes.map(df_final.set_index('Genes')['Gene_Symbol'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 590,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.loc[df.Genes!=0,:] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 602,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genes</th>\n",
       "      <th>Phenotype_Safety_x</th>\n",
       "      <th>Phenotype_Essentiality_x</th>\n",
       "      <th>Phenotype_Safety_y</th>\n",
       "      <th>Phenotype_Essentiality_y</th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Drugs</th>\n",
       "      <th>Drugs_Action</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>ATC_Code</th>\n",
       "      <th>Gene_Categories</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2987.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>J05AB11</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Acyclovir and prodrug|Amino Acids|Amino Acids,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Congenital herpes simplex infection', 'Derma...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2987.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved</td>\n",
       "      <td>J05AB01|D06BB03|S01AD03|D06BB53</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Acyclovir and prodrug|Anti-Infective Agents|An...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Acquired immunodeficiency syndrome', 'Autoim...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2987.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Guanosine-5'-Monophosphate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51477.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Glycerin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>A06AX01|A06AG04</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Alimentary Tract and Metabolism|Basic...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51477.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB01840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Carbohydrates|Myo-Inositol-1-Phosphat...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>51477.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2-Deoxy-Glucitol-6-Phosphate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Amino Acids|Amino A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Riluzole</td>\n",
       "      <td>inducer</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>N07XX02</td>\n",
       "      <td>target</td>\n",
       "      <td>Anticonvulsants|BCRP/ABCG2 Substrates|Benzothi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Amyotrophic lateral sclerosis', 'Lower motor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Taurochenodeoxycholic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Glutamic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>A09AB01</td>\n",
       "      <td>target</td>\n",
       "      <td>Acid Preparations|Alimentary Tract and Metabol...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Taurocholic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Alanosine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Amino Acids|Amino Acids, Peptides, and Protein...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Thimerosal</td>\n",
       "      <td>antagonist</td>\n",
       "      <td>approved</td>\n",
       "      <td>D08AK06</td>\n",
       "      <td>target</td>\n",
       "      <td>Alkylmercury Compounds|Antiseptics and Disinfe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tauroursodeoxycholic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental|investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rosuvastatin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved</td>\n",
       "      <td>C10BX10|C10BX05|C10BX07|C10AA07|A10BH52|G01AE1...</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Agents Causing Muscle Toxicity|Alimentary Trac...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Acetylcysteine</td>\n",
       "      <td>activator</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>R05CB01|S01XA08|V03AB23</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Neutral|Amino Acids, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Aspartate aminotransferase increased', 'Asth...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sulfasalazine</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved</td>\n",
       "      <td>A07EC01|G01AE10</td>\n",
       "      <td>target</td>\n",
       "      <td>Agents causing hyperkalemia|Agents that produc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9791.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PTDSS1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Carbohydrates|Dietary Supplements|Gly...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>51727.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Tetrafluoroaluminate Ion</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Acquired immunodeficiency syndrome', 'Autoim...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>51727.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>DB03664</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>51727.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Lamivudine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>J05AR02|J05AR11|J05AR07|J05AR01|J05AR13|J05AR1...</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Agents Causing Muscle Toxicity|Anti-HIV Agents...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Alanine aminotransferase increased', 'Chroni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>51727.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Cytidine-5'-Monophosphate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Carbohydrates|Cytosine Nucleotides|Glycosides|...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>51727.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved</td>\n",
       "      <td>L01BC05</td>\n",
       "      <td>target</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>['Cardiotoxicity', 'Hepatotoxicity', 'Nephropa...</td>\n",
       "      <td>['Adenocarcinoma pancreas', 'Alcohol abuse', '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>51727.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Uridine-5'-Diphosphate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>51727.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>CMPK1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Sofosbuvir</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved</td>\n",
       "      <td>J05AP08|J05AP51|J05AP55|J05AP56</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Anti-Infective Agents|Antiinfectives for Syste...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Chronic hepatitis C', 'Hepatitis C', 'Mental...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>L-2-amino-3-butynoic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids, Acyclic|Amino Acids|Amino Acids, Peptid...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Pyridoxal phosphate</td>\n",
       "      <td>cofactor</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A11HA06</td>\n",
       "      <td>target</td>\n",
       "      <td>Alimentary Tract and Metabolism|Coenzymes|Diet...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>DB02328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Cysteine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Neutral|Amino Acids, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>DB03928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Dextrothyroxine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>C10AX01</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Amino Acids|Amino Acids, Aromatic|Amino Acids,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Acute myocardial infarction', 'Adrenal insuf...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pregabalin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>N03AX16</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids, Acyclic|Agents causing angioedema|Amino...</td>\n",
       "      <td>['Digitalis intoxication (NOS)']</td>\n",
       "      <td>['Convulsion', 'Diabetic neuropathy', 'Epileps...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>D-Leucine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Levothyroxine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved</td>\n",
       "      <td>H03AA01</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Agents used to treat hypothyroidism|Amino Acid...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Acute myocardial infarction', 'Adrenal insuf...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>S-(Methylmercury)-L-Cysteine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Liothyronine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|vet_approved</td>\n",
       "      <td>H03AA03|H03AA02</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Agents used to treat hypothyroidism|Drugs that...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Atrophy', 'Autoimmune thyroiditis', 'Congeni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Melphalan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved</td>\n",
       "      <td>L01AA03</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Alkylating Activity|Alkylating Drugs|Amino Aci...</td>\n",
       "      <td>['Pulmonary toxicity']</td>\n",
       "      <td>['Body temperature increased', 'Breast cancer'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>D-Phenylalanine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>L-Glutamine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A16AA03</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Alimentary Tract and Metabolism|Amino Acids|Am...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gabapentin</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>N03AX12</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids, Acyclic|Acids, Carbocyclic|Amines|Amino...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Asthenia', 'Ataxia', 'Convulsion', 'Diabetes...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Levodopa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved</td>\n",
       "      <td>N04BA03|N04BA01|N04BA02</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Amines|Amino Acids|Amino Acids, Aromatic|Amino...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Dyskinesia', \"Parkinson's disease\", 'Parkins...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Thyroid, porcine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Agents used to treat hypothyroidism|Thyroid Pr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>11136.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC7A9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Amino Acids|Amino A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>11136.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC7A9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>L-Glutamine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A16AA03</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Alimentary Tract and Metabolism|Amino Acids|Am...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>6519.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC3A1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Amino Acids|Amino A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>51228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GLTP</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Capric acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Anti-Infective Agents|Antifungal Agents|Fatty ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>51228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GLTP</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sphingosine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Amines|Amino Alcohols|Glycols|P-glyco...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>51228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GLTP</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Oleic Acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|investigational|vet_approved</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Fatty Acids|Fatty Acids, Monounsaturated|Fatty...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>51228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GLTP</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Lactose</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|experimental|investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Carbohydrates|Compounds used in a research, in...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>51228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GLTP</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Lauric acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Fatty Acids|Lipids</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Genes  Phenotype_Safety_x  Phenotype_Essentiality_x  Phenotype_Safety_y  \\\n",
       "0    2987.0                 3.0                      10.0                 0.0   \n",
       "1    2987.0                 3.0                      10.0                 0.0   \n",
       "2    2987.0                 3.0                      10.0                 0.0   \n",
       "3   51477.0                 0.0                       2.0                 1.0   \n",
       "4   51477.0                 0.0                       2.0                 1.0   \n",
       "5   51477.0                 0.0                       2.0                 1.0   \n",
       "6   23657.0                 1.0                       2.0                 0.0   \n",
       "7   23657.0                 1.0                       2.0                 0.0   \n",
       "8   23657.0                 1.0                       2.0                 0.0   \n",
       "9   23657.0                 1.0                       2.0                 0.0   \n",
       "10  23657.0                 1.0                       2.0                 0.0   \n",
       "11  23657.0                 1.0                       2.0                 0.0   \n",
       "12  23657.0                 1.0                       2.0                 0.0   \n",
       "13  23657.0                 1.0                       2.0                 0.0   \n",
       "14  23657.0                 1.0                       2.0                 0.0   \n",
       "15  23657.0                 1.0                       2.0                 0.0   \n",
       "16  23657.0                 1.0                       2.0                 0.0   \n",
       "17   9791.0                 2.0                       3.0                 1.0   \n",
       "18  51727.0                 3.0                       4.0                 0.0   \n",
       "19  51727.0                 3.0                       4.0                 0.0   \n",
       "20  51727.0                 3.0                       4.0                 0.0   \n",
       "21  51727.0                 3.0                       4.0                 0.0   \n",
       "22  51727.0                 3.0                       4.0                 0.0   \n",
       "23  51727.0                 3.0                       4.0                 0.0   \n",
       "24  51727.0                 3.0                       4.0                 0.0   \n",
       "25   1491.0                 1.0                       2.0                 1.0   \n",
       "26   1491.0                 1.0                       2.0                 1.0   \n",
       "27   1491.0                 1.0                       2.0                 1.0   \n",
       "28   1491.0                 1.0                       2.0                 1.0   \n",
       "29   1491.0                 1.0                       2.0                 1.0   \n",
       "30   8140.0                 0.0                       0.0                 1.0   \n",
       "31   8140.0                 0.0                       0.0                 1.0   \n",
       "32   8140.0                 0.0                       0.0                 1.0   \n",
       "33   8140.0                 0.0                       0.0                 1.0   \n",
       "34   8140.0                 0.0                       0.0                 1.0   \n",
       "35   8140.0                 0.0                       0.0                 1.0   \n",
       "36   8140.0                 0.0                       0.0                 1.0   \n",
       "37   8140.0                 0.0                       0.0                 1.0   \n",
       "38   8140.0                 0.0                       0.0                 1.0   \n",
       "39   8140.0                 0.0                       0.0                 1.0   \n",
       "40   8140.0                 0.0                       0.0                 1.0   \n",
       "41   8140.0                 0.0                       0.0                 1.0   \n",
       "42  11136.0                 2.0                       2.0                 0.0   \n",
       "43  11136.0                 2.0                       2.0                 0.0   \n",
       "44   6519.0                 2.0                       2.0                 0.0   \n",
       "45  51228.0                 0.0                       0.0                 1.0   \n",
       "46  51228.0                 0.0                       0.0                 1.0   \n",
       "47  51228.0                 0.0                       0.0                 1.0   \n",
       "48  51228.0                 0.0                       0.0                 1.0   \n",
       "49  51228.0                 0.0                       0.0                 1.0   \n",
       "\n",
       "    Phenotype_Essentiality_y Gene_Symbol  Phenotype_Essentiality  \\\n",
       "0                        6.0        GUK1                    16.0   \n",
       "1                        6.0        GUK1                    16.0   \n",
       "2                        6.0        GUK1                    16.0   \n",
       "3                        7.0      ISYNA1                     9.0   \n",
       "4                        7.0      ISYNA1                     9.0   \n",
       "5                        7.0      ISYNA1                     9.0   \n",
       "6                        3.0     SLC7A11                     5.0   \n",
       "7                        3.0     SLC7A11                     5.0   \n",
       "8                        3.0     SLC7A11                     5.0   \n",
       "9                        3.0     SLC7A11                     5.0   \n",
       "10                       3.0     SLC7A11                     5.0   \n",
       "11                       3.0     SLC7A11                     5.0   \n",
       "12                       3.0     SLC7A11                     5.0   \n",
       "13                       3.0     SLC7A11                     5.0   \n",
       "14                       3.0     SLC7A11                     5.0   \n",
       "15                       3.0     SLC7A11                     5.0   \n",
       "16                       3.0     SLC7A11                     5.0   \n",
       "17                       1.0      PTDSS1                     4.0   \n",
       "18                       0.0       CMPK1                     4.0   \n",
       "19                       0.0       CMPK1                     4.0   \n",
       "20                       0.0       CMPK1                     4.0   \n",
       "21                       0.0       CMPK1                     4.0   \n",
       "22                       0.0       CMPK1                     4.0   \n",
       "23                       0.0       CMPK1                     4.0   \n",
       "24                       0.0       CMPK1                     4.0   \n",
       "25                       2.0         CTH                     4.0   \n",
       "26                       2.0         CTH                     4.0   \n",
       "27                       2.0         CTH                     4.0   \n",
       "28                       2.0         CTH                     4.0   \n",
       "29                       2.0         CTH                     4.0   \n",
       "30                       3.0      SLC7A5                     3.0   \n",
       "31                       3.0      SLC7A5                     3.0   \n",
       "32                       3.0      SLC7A5                     3.0   \n",
       "33                       3.0      SLC7A5                     3.0   \n",
       "34                       3.0      SLC7A5                     3.0   \n",
       "35                       3.0      SLC7A5                     3.0   \n",
       "36                       3.0      SLC7A5                     3.0   \n",
       "37                       3.0      SLC7A5                     3.0   \n",
       "38                       3.0      SLC7A5                     3.0   \n",
       "39                       3.0      SLC7A5                     3.0   \n",
       "40                       3.0      SLC7A5                     3.0   \n",
       "41                       3.0      SLC7A5                     3.0   \n",
       "42                       0.0      SLC7A9                     2.0   \n",
       "43                       0.0      SLC7A9                     2.0   \n",
       "44                       0.0      SLC3A1                     2.0   \n",
       "45                       2.0        GLTP                     2.0   \n",
       "46                       2.0        GLTP                     2.0   \n",
       "47                       2.0        GLTP                     2.0   \n",
       "48                       2.0        GLTP                     2.0   \n",
       "49                       2.0        GLTP                     2.0   \n",
       "\n",
       "    Phenotype_Safety                         Drugs Drugs_Action  \\\n",
       "0                3.0                  Valaciclovir    substrate   \n",
       "1                3.0                     Acyclovir    substrate   \n",
       "2                3.0    Guanosine-5'-Monophosphate          NaN   \n",
       "3                1.0                      Glycerin          NaN   \n",
       "4                1.0                       DB01840          NaN   \n",
       "5                1.0  2-Deoxy-Glucitol-6-Phosphate          NaN   \n",
       "6                1.0                       Cystine          NaN   \n",
       "7                1.0                      Riluzole      inducer   \n",
       "8                1.0    Taurochenodeoxycholic acid          NaN   \n",
       "9                1.0                 Glutamic acid          NaN   \n",
       "10               1.0              Taurocholic acid          NaN   \n",
       "11               1.0                     Alanosine          NaN   \n",
       "12               1.0                    Thimerosal   antagonist   \n",
       "13               1.0     Tauroursodeoxycholic acid          NaN   \n",
       "14               1.0                  Rosuvastatin          NaN   \n",
       "15               1.0                Acetylcysteine    activator   \n",
       "16               1.0                 Sulfasalazine    inhibitor   \n",
       "17               3.0           Phosphatidyl serine          NaN   \n",
       "18               3.0      Tetrafluoroaluminate Ion          NaN   \n",
       "19               3.0                       DB03664          NaN   \n",
       "20               3.0                    Lamivudine    substrate   \n",
       "21               3.0     Cytidine-5'-Monophosphate          NaN   \n",
       "22               3.0                   Gemcitabine    inhibitor   \n",
       "23               3.0        Uridine-5'-Diphosphate          NaN   \n",
       "24               3.0                    Sofosbuvir    substrate   \n",
       "25               2.0     L-2-amino-3-butynoic acid          NaN   \n",
       "26               2.0           Pyridoxal phosphate     cofactor   \n",
       "27               2.0                       DB02328          NaN   \n",
       "28               2.0                      Cysteine          NaN   \n",
       "29               2.0                       DB03928          NaN   \n",
       "30               1.0               Dextrothyroxine          NaN   \n",
       "31               1.0                    Pregabalin          NaN   \n",
       "32               1.0                     D-Leucine          NaN   \n",
       "33               1.0                 Levothyroxine          NaN   \n",
       "34               1.0  S-(Methylmercury)-L-Cysteine          NaN   \n",
       "35               1.0                  Liothyronine          NaN   \n",
       "36               1.0                     Melphalan          NaN   \n",
       "37               1.0               D-Phenylalanine          NaN   \n",
       "38               1.0                   L-Glutamine    substrate   \n",
       "39               1.0                    Gabapentin    substrate   \n",
       "40               1.0                      Levodopa          NaN   \n",
       "41               1.0              Thyroid, porcine    substrate   \n",
       "42               2.0                       Cystine          NaN   \n",
       "43               2.0                   L-Glutamine    substrate   \n",
       "44               2.0                       Cystine          NaN   \n",
       "45               1.0                   Capric acid          NaN   \n",
       "46               1.0                   Sphingosine          NaN   \n",
       "47               1.0                    Oleic Acid          NaN   \n",
       "48               1.0                       Lactose          NaN   \n",
       "49               1.0                   Lauric acid          NaN   \n",
       "\n",
       "                               Drugs_Group  \\\n",
       "0                 approved|investigational   \n",
       "1                                 approved   \n",
       "2                             experimental   \n",
       "3                 approved|investigational   \n",
       "4                             experimental   \n",
       "5                             experimental   \n",
       "6                   approved|nutraceutical   \n",
       "7                 approved|investigational   \n",
       "8                             experimental   \n",
       "9                   approved|nutraceutical   \n",
       "10                   approved|experimental   \n",
       "11                         investigational   \n",
       "12                                approved   \n",
       "13            experimental|investigational   \n",
       "14                                approved   \n",
       "15                approved|investigational   \n",
       "16                                approved   \n",
       "17  approved|investigational|nutraceutical   \n",
       "18                            experimental   \n",
       "19                            experimental   \n",
       "20                approved|investigational   \n",
       "21                            experimental   \n",
       "22                                approved   \n",
       "23                            experimental   \n",
       "24                                approved   \n",
       "25                            experimental   \n",
       "26  approved|investigational|nutraceutical   \n",
       "27                            experimental   \n",
       "28                  approved|nutraceutical   \n",
       "29                            experimental   \n",
       "30                approved|investigational   \n",
       "31                approved|investigational   \n",
       "32                            experimental   \n",
       "33                                approved   \n",
       "34                            experimental   \n",
       "35                   approved|vet_approved   \n",
       "36                                approved   \n",
       "37                            experimental   \n",
       "38  approved|investigational|nutraceutical   \n",
       "39                approved|investigational   \n",
       "40                                approved   \n",
       "41                                approved   \n",
       "42                  approved|nutraceutical   \n",
       "43  approved|investigational|nutraceutical   \n",
       "44                  approved|nutraceutical   \n",
       "45                            experimental   \n",
       "46                            experimental   \n",
       "47   approved|investigational|vet_approved   \n",
       "48   approved|experimental|investigational   \n",
       "49                   approved|experimental   \n",
       "\n",
       "                                             ATC_Code Gene_Categories  \\\n",
       "0                                             J05AB11          enzyme   \n",
       "1                     J05AB01|D06BB03|S01AD03|D06BB53          enzyme   \n",
       "2                                                 NaN          target   \n",
       "3                                     A06AX01|A06AG04          target   \n",
       "4                                                 NaN          target   \n",
       "5                                                 NaN          target   \n",
       "6                                                 NaN          target   \n",
       "7                                             N07XX02          target   \n",
       "8                                                 NaN     transporter   \n",
       "9                                             A09AB01          target   \n",
       "10                                                NaN     transporter   \n",
       "11                                                NaN     transporter   \n",
       "12                                            D08AK06          target   \n",
       "13                                                NaN     transporter   \n",
       "14  C10BX10|C10BX05|C10BX07|C10AA07|A10BH52|G01AE1...     transporter   \n",
       "15                            R05CB01|S01XA08|V03AB23          target   \n",
       "16                                    A07EC01|G01AE10          target   \n",
       "17                                                NaN          target   \n",
       "18                                                NaN          target   \n",
       "19                                                NaN          target   \n",
       "20  J05AR02|J05AR11|J05AR07|J05AR01|J05AR13|J05AR1...          enzyme   \n",
       "21                                                NaN          target   \n",
       "22                                            L01BC05          target   \n",
       "23                                                NaN          target   \n",
       "24                    J05AP08|J05AP51|J05AP55|J05AP56          enzyme   \n",
       "25                                                NaN          target   \n",
       "26                                            A11HA06          target   \n",
       "27                                                NaN          target   \n",
       "28                                                NaN          target   \n",
       "29                                                NaN          target   \n",
       "30                                            C10AX01     transporter   \n",
       "31                                            N03AX16     transporter   \n",
       "32                                                NaN     transporter   \n",
       "33                                            H03AA01     transporter   \n",
       "34                                                NaN     transporter   \n",
       "35                                    H03AA03|H03AA02     transporter   \n",
       "36                                            L01AA03     transporter   \n",
       "37                                                NaN     transporter   \n",
       "38                                            A16AA03     transporter   \n",
       "39                                            N03AX12     transporter   \n",
       "40                            N04BA03|N04BA01|N04BA02     transporter   \n",
       "41                                                NaN     transporter   \n",
       "42                                                NaN          target   \n",
       "43                                            A16AA03     transporter   \n",
       "44                                                NaN          target   \n",
       "45                                                NaN          target   \n",
       "46                                                NaN          target   \n",
       "47                                                NaN          target   \n",
       "48                                                NaN          target   \n",
       "49                                                NaN          target   \n",
       "\n",
       "                                     Drugs_Categories  \\\n",
       "0   Acyclovir and prodrug|Amino Acids|Amino Acids,...   \n",
       "1   Acyclovir and prodrug|Anti-Infective Agents|An...   \n",
       "2                                                 NaN   \n",
       "3   Alcohols|Alimentary Tract and Metabolism|Basic...   \n",
       "4   Alcohols|Carbohydrates|Myo-Inositol-1-Phosphat...   \n",
       "5                                                 NaN   \n",
       "6   Acids|Acids, Noncarboxylic|Amino Acids|Amino A...   \n",
       "7   Anticonvulsants|BCRP/ABCG2 Substrates|Benzothi...   \n",
       "8   Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...   \n",
       "9   Acid Preparations|Alimentary Tract and Metabol...   \n",
       "10  Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...   \n",
       "11  Amino Acids|Amino Acids, Peptides, and Protein...   \n",
       "12  Alkylmercury Compounds|Antiseptics and Disinfe...   \n",
       "13  Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...   \n",
       "14  Agents Causing Muscle Toxicity|Alimentary Trac...   \n",
       "15  Amino Acids|Amino Acids, Neutral|Amino Acids, ...   \n",
       "16  Agents causing hyperkalemia|Agents that produc...   \n",
       "17  Alcohols|Carbohydrates|Dietary Supplements|Gly...   \n",
       "18                                                NaN   \n",
       "19                                                NaN   \n",
       "20  Agents Causing Muscle Toxicity|Anti-HIV Agents...   \n",
       "21  Carbohydrates|Cytosine Nucleotides|Glycosides|...   \n",
       "22  Anti-Infective Agents|Antimetabolites|Antineop...   \n",
       "23                                                NaN   \n",
       "24  Anti-Infective Agents|Antiinfectives for Syste...   \n",
       "25  Acids, Acyclic|Amino Acids|Amino Acids, Peptid...   \n",
       "26  Alimentary Tract and Metabolism|Coenzymes|Diet...   \n",
       "27                                                NaN   \n",
       "28  Amino Acids|Amino Acids, Neutral|Amino Acids, ...   \n",
       "29                                                NaN   \n",
       "30  Amino Acids|Amino Acids, Aromatic|Amino Acids,...   \n",
       "31  Acids, Acyclic|Agents causing angioedema|Amino...   \n",
       "32                                                NaN   \n",
       "33  Agents used to treat hypothyroidism|Amino Acid...   \n",
       "34                                                NaN   \n",
       "35  Agents used to treat hypothyroidism|Drugs that...   \n",
       "36  Alkylating Activity|Alkylating Drugs|Amino Aci...   \n",
       "37                                                NaN   \n",
       "38  Alimentary Tract and Metabolism|Amino Acids|Am...   \n",
       "39  Acids, Acyclic|Acids, Carbocyclic|Amines|Amino...   \n",
       "40  Amines|Amino Acids|Amino Acids, Aromatic|Amino...   \n",
       "41  Agents used to treat hypothyroidism|Thyroid Pr...   \n",
       "42  Acids|Acids, Noncarboxylic|Amino Acids|Amino A...   \n",
       "43  Alimentary Tract and Metabolism|Amino Acids|Am...   \n",
       "44  Acids|Acids, Noncarboxylic|Amino Acids|Amino A...   \n",
       "45  Anti-Infective Agents|Antifungal Agents|Fatty ...   \n",
       "46  Alcohols|Amines|Amino Alcohols|Glycols|P-glyco...   \n",
       "47  Fatty Acids|Fatty Acids, Monounsaturated|Fatty...   \n",
       "48  Carbohydrates|Compounds used in a research, in...   \n",
       "49                                 Fatty Acids|Lipids   \n",
       "\n",
       "                                     side_effect_name  \\\n",
       "0                                                 NaN   \n",
       "1                                                 NaN   \n",
       "2                                                 NaN   \n",
       "3                                                 NaN   \n",
       "4                                                 NaN   \n",
       "5                                                 NaN   \n",
       "6                                                 NaN   \n",
       "7                                                 NaN   \n",
       "8                                                 NaN   \n",
       "9                                                 NaN   \n",
       "10                                                NaN   \n",
       "11                                                NaN   \n",
       "12                                                NaN   \n",
       "13                                                NaN   \n",
       "14                                                NaN   \n",
       "15                                                NaN   \n",
       "16                                                NaN   \n",
       "17                                                NaN   \n",
       "18                                                NaN   \n",
       "19                                                NaN   \n",
       "20                                                NaN   \n",
       "21                                                NaN   \n",
       "22  ['Cardiotoxicity', 'Hepatotoxicity', 'Nephropa...   \n",
       "23                                                NaN   \n",
       "24                                                NaN   \n",
       "25                                                NaN   \n",
       "26                                                NaN   \n",
       "27                                                NaN   \n",
       "28                                                NaN   \n",
       "29                                                NaN   \n",
       "30                                                NaN   \n",
       "31                   ['Digitalis intoxication (NOS)']   \n",
       "32                                                NaN   \n",
       "33                                                NaN   \n",
       "34                                                NaN   \n",
       "35                                                NaN   \n",
       "36                             ['Pulmonary toxicity']   \n",
       "37                                                NaN   \n",
       "38                                                NaN   \n",
       "39                                                NaN   \n",
       "40                                                NaN   \n",
       "41                                                NaN   \n",
       "42                                                NaN   \n",
       "43                                                NaN   \n",
       "44                                                NaN   \n",
       "45                                                NaN   \n",
       "46                                                NaN   \n",
       "47                                                NaN   \n",
       "48                                                NaN   \n",
       "49                                                NaN   \n",
       "\n",
       "                                    Meddra_Indication  \n",
       "0   ['Congenital herpes simplex infection', 'Derma...  \n",
       "1   ['Acquired immunodeficiency syndrome', 'Autoim...  \n",
       "2                                                 NaN  \n",
       "3                                                 NaN  \n",
       "4                                                 NaN  \n",
       "5                                                 NaN  \n",
       "6                                                 NaN  \n",
       "7   ['Amyotrophic lateral sclerosis', 'Lower motor...  \n",
       "8                                                 NaN  \n",
       "9                                                 NaN  \n",
       "10                                                NaN  \n",
       "11                                                NaN  \n",
       "12                                                NaN  \n",
       "13                                                NaN  \n",
       "14                                                NaN  \n",
       "15  ['Aspartate aminotransferase increased', 'Asth...  \n",
       "16                                                NaN  \n",
       "17                                                NaN  \n",
       "18  ['Acquired immunodeficiency syndrome', 'Autoim...  \n",
       "19                                                NaN  \n",
       "20  ['Alanine aminotransferase increased', 'Chroni...  \n",
       "21                                                NaN  \n",
       "22  ['Adenocarcinoma pancreas', 'Alcohol abuse', '...  \n",
       "23                                                NaN  \n",
       "24  ['Chronic hepatitis C', 'Hepatitis C', 'Mental...  \n",
       "25                                                NaN  \n",
       "26                                                NaN  \n",
       "27                                                NaN  \n",
       "28                                                NaN  \n",
       "29                                                NaN  \n",
       "30  ['Acute myocardial infarction', 'Adrenal insuf...  \n",
       "31  ['Convulsion', 'Diabetic neuropathy', 'Epileps...  \n",
       "32                                                NaN  \n",
       "33  ['Acute myocardial infarction', 'Adrenal insuf...  \n",
       "34                                                NaN  \n",
       "35  ['Atrophy', 'Autoimmune thyroiditis', 'Congeni...  \n",
       "36  ['Body temperature increased', 'Breast cancer'...  \n",
       "37                                                NaN  \n",
       "38                                                NaN  \n",
       "39  ['Asthenia', 'Ataxia', 'Convulsion', 'Diabetes...  \n",
       "40  ['Dyskinesia', \"Parkinson's disease\", 'Parkins...  \n",
       "41                                                NaN  \n",
       "42                                                NaN  \n",
       "43                                                NaN  \n",
       "44                                                NaN  \n",
       "45                                                NaN  \n",
       "46                                                NaN  \n",
       "47                                                NaN  \n",
       "48                                                NaN  \n",
       "49                                                NaN  "
      ]
     },
     "execution_count": 602,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 603,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genes</th>\n",
       "      <th>Phenotype_Safety_x</th>\n",
       "      <th>Phenotype_Essentiality_x</th>\n",
       "      <th>Phenotype_Safety_y</th>\n",
       "      <th>Phenotype_Essentiality_y</th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Drugs</th>\n",
       "      <th>Drugs_Action</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>ATC_Code</th>\n",
       "      <th>Gene_Categories</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB03987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB02583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved</td>\n",
       "      <td>L04AX03|L01BA01</td>\n",
       "      <td>target</td>\n",
       "      <td>Abortifacient Agents|Abortifacient Agents, Non...</td>\n",
       "      <td>['CNS toxicity', 'Gastrointestinal toxicity', ...</td>\n",
       "      <td>['Acute leukaemia', 'Acute lymphocytic leukaem...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB07141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pyrimethamine</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational|vet_approved</td>\n",
       "      <td>P01BD01|P01BD51|P01BF04</td>\n",
       "      <td>target</td>\n",
       "      <td>Anti-Infective Agents|Antibiotics for Pneumocy...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Malaria', 'Toxoplasmosis']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB02919</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Aminopterin</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>investigational|withdrawn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Biological Factors|Enzyme Inhibitors|Folic Aci...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB03461</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Adenine Nucleotides|Carbohydrates|Coenzymes|En...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pemetrexed</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BA04</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Acidic|Amino Acids, D...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Breast cancer', 'Mesothelioma', 'Non-small c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Lamotrigine</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>N03AX09</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Agents causing hyperkalemia|Agents producing t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Affective disorder', 'Bipolar I disorder', '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Piritrexim</td>\n",
       "      <td>NaN</td>\n",
       "      <td>investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Antineoplastic Agents|Enzyme Inhibitors|Folic ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB03125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Anorectal infection', 'Bacterial infection',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB02104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB07140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB02559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB08234</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pralatrexate</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BA05</td>\n",
       "      <td>target</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Febrile neutropenia', 'Mucosal inflammation'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sri-9439</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB08406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB07144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Trimetrexate</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>P01AX07</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids, Acyclic|Acids, Aldehydic|Anti-Infective...</td>\n",
       "      <td>['Hepatotoxicity']</td>\n",
       "      <td>['Acquired immunodeficiency syndrome', 'Autoim...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Proguanil</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved</td>\n",
       "      <td>P01BB01|P01BB51</td>\n",
       "      <td>target</td>\n",
       "      <td>Amidines|Anti-Infective Agents|Antimalarials|A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Drug interaction', 'Plasmodium falciparum in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Iclaprim</td>\n",
       "      <td>NaN</td>\n",
       "      <td>investigational</td>\n",
       "      <td>J01EA03</td>\n",
       "      <td>target</td>\n",
       "      <td>Antibacterials for Systemic Use|Antiinfectives...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sri-9662</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB08642</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gentamicin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|vet_approved</td>\n",
       "      <td>S01AA11|S02AA14|D06AX07|S03AA06|J01GB03</td>\n",
       "      <td>target</td>\n",
       "      <td>Agents that produce neuromuscular block (indir...</td>\n",
       "      <td>['Nephropathy toxic', 'Nephrotoxicity', 'Neuro...</td>\n",
       "      <td>['Abortion infected', 'Acne pustular', 'Arthro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Biopterin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Biological Factors|Coenzymes|Enzymes and Coenz...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB02427</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB08479</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB03541</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>ANX-510</td>\n",
       "      <td>NaN</td>\n",
       "      <td>investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Fluorouracil</td>\n",
       "      <td>other/unknown</td>\n",
       "      <td>approved</td>\n",
       "      <td>L01BC52|L01BC02</td>\n",
       "      <td>target</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>['Cardiotoxicity', 'Ocular toxicity']</td>\n",
       "      <td>['Actinic keratosis', 'Basal cell carcinoma', ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Capecitabine</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BC06</td>\n",
       "      <td>target</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>['Gastrointestinal toxicity', 'Hepatotoxicity'...</td>\n",
       "      <td>['Breast cancer', 'Breast cancer stage IV', 'C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved</td>\n",
       "      <td>L04AX03|L01BA01</td>\n",
       "      <td>target</td>\n",
       "      <td>Abortifacient Agents|Abortifacient Agents, Non...</td>\n",
       "      <td>['CNS toxicity', 'Gastrointestinal toxicity', ...</td>\n",
       "      <td>['Acute leukaemia', 'Acute lymphocytic leukaem...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Floxuridine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved</td>\n",
       "      <td>L01BC09</td>\n",
       "      <td>target</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>['Skin toxicity']</td>\n",
       "      <td>['Adenocarcinoma']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Thymectacin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Carbohydrates|Deoxyribonucleosides|Deoxyuridin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BC59|S01AD02</td>\n",
       "      <td>target</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Herpes simplex', 'Hypersensitivity', 'Kerati...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved</td>\n",
       "      <td>L01BC05</td>\n",
       "      <td>target</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>['Cardiotoxicity', 'Hepatotoxicity', 'Nephropa...</td>\n",
       "      <td>['Adenocarcinoma pancreas', 'Alcohol abuse', '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pemetrexed</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BA04</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Acidic|Amino Acids, D...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Breast cancer', 'Mesothelioma', 'Non-small c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pralatrexate</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BA05</td>\n",
       "      <td>target</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Febrile neutropenia', 'Mucosal inflammation'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB08478</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB04530</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB08734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Dermatitis', 'Latent tuberculosis', 'Psorias...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Thymidine monophosphate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Carbohydrates|Deoxyribonucleotides|Glycosides|...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OSI-7904L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids, Acyclic|Dicarboxylic Acids|Heterocyclic...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tegafur</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BC03|L01BC53</td>\n",
       "      <td>target</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Deoxyuridine monophosphate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Carbohydrates|Deoxyribonucleotides|Glycosides|...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tegafur-uracil</td>\n",
       "      <td>antagonist</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Cytochrome P-450 CYP2A6 Substrates|Cytochrome ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>DB07577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>7298.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Raltitrexed</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>L01BA03</td>\n",
       "      <td>target</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Breast cancer', 'Cardiotoxicity', 'Colorecta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Genes  Phenotype_Safety_x  Phenotype_Essentiality_x  Phenotype_Safety_y  \\\n",
       "72   1719.0                 1.0                       1.0                 0.0   \n",
       "73   1719.0                 1.0                       1.0                 0.0   \n",
       "74   1719.0                 1.0                       1.0                 0.0   \n",
       "75   1719.0                 1.0                       1.0                 0.0   \n",
       "76   1719.0                 1.0                       1.0                 0.0   \n",
       "77   1719.0                 1.0                       1.0                 0.0   \n",
       "78   1719.0                 1.0                       1.0                 0.0   \n",
       "79   1719.0                 1.0                       1.0                 0.0   \n",
       "80   1719.0                 1.0                       1.0                 0.0   \n",
       "81   1719.0                 1.0                       1.0                 0.0   \n",
       "82   1719.0                 1.0                       1.0                 0.0   \n",
       "83   1719.0                 1.0                       1.0                 0.0   \n",
       "84   1719.0                 1.0                       1.0                 0.0   \n",
       "85   1719.0                 1.0                       1.0                 0.0   \n",
       "86   1719.0                 1.0                       1.0                 0.0   \n",
       "87   1719.0                 1.0                       1.0                 0.0   \n",
       "88   1719.0                 1.0                       1.0                 0.0   \n",
       "89   1719.0                 1.0                       1.0                 0.0   \n",
       "90   1719.0                 1.0                       1.0                 0.0   \n",
       "91   1719.0                 1.0                       1.0                 0.0   \n",
       "92   1719.0                 1.0                       1.0                 0.0   \n",
       "93   1719.0                 1.0                       1.0                 0.0   \n",
       "94   1719.0                 1.0                       1.0                 0.0   \n",
       "95   1719.0                 1.0                       1.0                 0.0   \n",
       "96   1719.0                 1.0                       1.0                 0.0   \n",
       "97   1719.0                 1.0                       1.0                 0.0   \n",
       "98   1719.0                 1.0                       1.0                 0.0   \n",
       "99   1719.0                 1.0                       1.0                 0.0   \n",
       "100  7298.0                 1.0                       1.0                 0.0   \n",
       "101  7298.0                 1.0                       1.0                 0.0   \n",
       "102  7298.0                 1.0                       1.0                 0.0   \n",
       "103  7298.0                 1.0                       1.0                 0.0   \n",
       "104  7298.0                 1.0                       1.0                 0.0   \n",
       "105  7298.0                 1.0                       1.0                 0.0   \n",
       "106  7298.0                 1.0                       1.0                 0.0   \n",
       "107  7298.0                 1.0                       1.0                 0.0   \n",
       "108  7298.0                 1.0                       1.0                 0.0   \n",
       "109  7298.0                 1.0                       1.0                 0.0   \n",
       "110  7298.0                 1.0                       1.0                 0.0   \n",
       "111  7298.0                 1.0                       1.0                 0.0   \n",
       "112  7298.0                 1.0                       1.0                 0.0   \n",
       "113  7298.0                 1.0                       1.0                 0.0   \n",
       "114  7298.0                 1.0                       1.0                 0.0   \n",
       "115  7298.0                 1.0                       1.0                 0.0   \n",
       "116  7298.0                 1.0                       1.0                 0.0   \n",
       "117  7298.0                 1.0                       1.0                 0.0   \n",
       "118  7298.0                 1.0                       1.0                 0.0   \n",
       "119  7298.0                 1.0                       1.0                 0.0   \n",
       "120  7298.0                 1.0                       1.0                 0.0   \n",
       "121  7298.0                 1.0                       1.0                 0.0   \n",
       "\n",
       "     Phenotype_Essentiality_y Gene_Symbol  Phenotype_Essentiality  \\\n",
       "72                        0.0        DHFR                     1.0   \n",
       "73                        0.0        DHFR                     1.0   \n",
       "74                        0.0        DHFR                     1.0   \n",
       "75                        0.0        DHFR                     1.0   \n",
       "76                        0.0        DHFR                     1.0   \n",
       "77                        0.0        DHFR                     1.0   \n",
       "78                        0.0        DHFR                     1.0   \n",
       "79                        0.0        DHFR                     1.0   \n",
       "80                        0.0        DHFR                     1.0   \n",
       "81                        0.0        DHFR                     1.0   \n",
       "82                        0.0        DHFR                     1.0   \n",
       "83                        0.0        DHFR                     1.0   \n",
       "84                        0.0        DHFR                     1.0   \n",
       "85                        0.0        DHFR                     1.0   \n",
       "86                        0.0        DHFR                     1.0   \n",
       "87                        0.0        DHFR                     1.0   \n",
       "88                        0.0        DHFR                     1.0   \n",
       "89                        0.0        DHFR                     1.0   \n",
       "90                        0.0        DHFR                     1.0   \n",
       "91                        0.0        DHFR                     1.0   \n",
       "92                        0.0        DHFR                     1.0   \n",
       "93                        0.0        DHFR                     1.0   \n",
       "94                        0.0        DHFR                     1.0   \n",
       "95                        0.0        DHFR                     1.0   \n",
       "96                        0.0        DHFR                     1.0   \n",
       "97                        0.0        DHFR                     1.0   \n",
       "98                        0.0        DHFR                     1.0   \n",
       "99                        0.0        DHFR                     1.0   \n",
       "100                       0.0        TYMS                     1.0   \n",
       "101                       0.0        TYMS                     1.0   \n",
       "102                       0.0        TYMS                     1.0   \n",
       "103                       0.0        TYMS                     1.0   \n",
       "104                       0.0        TYMS                     1.0   \n",
       "105                       0.0        TYMS                     1.0   \n",
       "106                       0.0        TYMS                     1.0   \n",
       "107                       0.0        TYMS                     1.0   \n",
       "108                       0.0        TYMS                     1.0   \n",
       "109                       0.0        TYMS                     1.0   \n",
       "110                       0.0        TYMS                     1.0   \n",
       "111                       0.0        TYMS                     1.0   \n",
       "112                       0.0        TYMS                     1.0   \n",
       "113                       0.0        TYMS                     1.0   \n",
       "114                       0.0        TYMS                     1.0   \n",
       "115                       0.0        TYMS                     1.0   \n",
       "116                       0.0        TYMS                     1.0   \n",
       "117                       0.0        TYMS                     1.0   \n",
       "118                       0.0        TYMS                     1.0   \n",
       "119                       0.0        TYMS                     1.0   \n",
       "120                       0.0        TYMS                     1.0   \n",
       "121                       0.0        TYMS                     1.0   \n",
       "\n",
       "     Phenotype_Safety                       Drugs   Drugs_Action  \\\n",
       "72                1.0                     DB03987            NaN   \n",
       "73                1.0                     DB02583            NaN   \n",
       "74                1.0                Methotrexate      inhibitor   \n",
       "75                1.0                     DB07141            NaN   \n",
       "76                1.0               Pyrimethamine      inhibitor   \n",
       "77                1.0                     DB02919            NaN   \n",
       "78                1.0                 Aminopterin      inhibitor   \n",
       "79                1.0                     DB03461            NaN   \n",
       "80                1.0                  Pemetrexed      inhibitor   \n",
       "81                1.0                 Lamotrigine      inhibitor   \n",
       "82                1.0                  Piritrexim            NaN   \n",
       "83                1.0                     DB03125            NaN   \n",
       "84                1.0                     DB02104            NaN   \n",
       "85                1.0                     DB07140            NaN   \n",
       "86                1.0                     DB02559            NaN   \n",
       "87                1.0                     DB08234            NaN   \n",
       "88                1.0                Pralatrexate      inhibitor   \n",
       "89                1.0                    Sri-9439            NaN   \n",
       "90                1.0                     DB08406            NaN   \n",
       "91                1.0                     DB07144            NaN   \n",
       "92                1.0                Trimetrexate      inhibitor   \n",
       "93                1.0                   Proguanil      inhibitor   \n",
       "94                1.0                    Iclaprim            NaN   \n",
       "95                1.0                    Sri-9662            NaN   \n",
       "96                1.0                     DB08642            NaN   \n",
       "97                1.0                  Gentamicin            NaN   \n",
       "98                1.0                   Biopterin            NaN   \n",
       "99                1.0                     DB02427            NaN   \n",
       "100               1.0                     DB08479            NaN   \n",
       "101               1.0                     DB03541            NaN   \n",
       "102               1.0                     ANX-510            NaN   \n",
       "103               1.0                Fluorouracil  other/unknown   \n",
       "104               1.0                Capecitabine      inhibitor   \n",
       "105               1.0                Methotrexate      inhibitor   \n",
       "106               1.0                 Floxuridine            NaN   \n",
       "107               1.0                 Thymectacin            NaN   \n",
       "108               1.0                Trifluridine      inhibitor   \n",
       "109               1.0                 Gemcitabine      inhibitor   \n",
       "110               1.0                  Pemetrexed      inhibitor   \n",
       "111               1.0                Pralatrexate      inhibitor   \n",
       "112               1.0                     DB08478            NaN   \n",
       "113               1.0                     DB04530            NaN   \n",
       "114               1.0                     DB08734            NaN   \n",
       "115               1.0     Thymidine monophosphate            NaN   \n",
       "116               1.0                   OSI-7904L            NaN   \n",
       "117               1.0                     Tegafur      inhibitor   \n",
       "118               1.0  Deoxyuridine monophosphate            NaN   \n",
       "119               1.0              Tegafur-uracil     antagonist   \n",
       "120               1.0                     DB07577            NaN   \n",
       "121               1.0                 Raltitrexed      inhibitor   \n",
       "\n",
       "                               Drugs_Group  \\\n",
       "72                            experimental   \n",
       "73                            experimental   \n",
       "74                                approved   \n",
       "75                            experimental   \n",
       "76   approved|investigational|vet_approved   \n",
       "77                            experimental   \n",
       "78               investigational|withdrawn   \n",
       "79                            experimental   \n",
       "80                approved|investigational   \n",
       "81                approved|investigational   \n",
       "82                         investigational   \n",
       "83                            experimental   \n",
       "84                            experimental   \n",
       "85                            experimental   \n",
       "86                            experimental   \n",
       "87                            experimental   \n",
       "88                approved|investigational   \n",
       "89                            experimental   \n",
       "90                            experimental   \n",
       "91                            experimental   \n",
       "92                approved|investigational   \n",
       "93                                approved   \n",
       "94                         investigational   \n",
       "95                            experimental   \n",
       "96                            experimental   \n",
       "97                   approved|vet_approved   \n",
       "98                            experimental   \n",
       "99                            experimental   \n",
       "100                           experimental   \n",
       "101                           experimental   \n",
       "102                        investigational   \n",
       "103                               approved   \n",
       "104               approved|investigational   \n",
       "105                               approved   \n",
       "106                               approved   \n",
       "107                        investigational   \n",
       "108               approved|investigational   \n",
       "109                               approved   \n",
       "110               approved|investigational   \n",
       "111               approved|investigational   \n",
       "112                           experimental   \n",
       "113                           experimental   \n",
       "114                           experimental   \n",
       "115                           experimental   \n",
       "116                        investigational   \n",
       "117               approved|investigational   \n",
       "118                           experimental   \n",
       "119               approved|investigational   \n",
       "120                           experimental   \n",
       "121               approved|investigational   \n",
       "\n",
       "                                    ATC_Code Gene_Categories  \\\n",
       "72                                       NaN          target   \n",
       "73                                       NaN          target   \n",
       "74                           L04AX03|L01BA01          target   \n",
       "75                                       NaN          target   \n",
       "76                   P01BD01|P01BD51|P01BF04          target   \n",
       "77                                       NaN          target   \n",
       "78                                       NaN          enzyme   \n",
       "79                                       NaN          target   \n",
       "80                                   L01BA04          target   \n",
       "81                                   N03AX09          enzyme   \n",
       "82                                       NaN          target   \n",
       "83                                       NaN          target   \n",
       "84                                       NaN          target   \n",
       "85                                       NaN          target   \n",
       "86                                       NaN          target   \n",
       "87                                       NaN          target   \n",
       "88                                   L01BA05          target   \n",
       "89                                       NaN          target   \n",
       "90                                       NaN          target   \n",
       "91                                       NaN          target   \n",
       "92                                   P01AX07          target   \n",
       "93                           P01BB01|P01BB51          target   \n",
       "94                                   J01EA03          target   \n",
       "95                                       NaN          target   \n",
       "96                                       NaN          target   \n",
       "97   S01AA11|S02AA14|D06AX07|S03AA06|J01GB03          target   \n",
       "98                                       NaN          target   \n",
       "99                                       NaN          target   \n",
       "100                                      NaN          target   \n",
       "101                                      NaN          target   \n",
       "102                                      NaN          target   \n",
       "103                          L01BC52|L01BC02          target   \n",
       "104                                  L01BC06          target   \n",
       "105                          L04AX03|L01BA01          target   \n",
       "106                                  L01BC09          target   \n",
       "107                                      NaN          target   \n",
       "108                          L01BC59|S01AD02          target   \n",
       "109                                  L01BC05          target   \n",
       "110                                  L01BA04          target   \n",
       "111                                  L01BA05          target   \n",
       "112                                      NaN          target   \n",
       "113                                      NaN          target   \n",
       "114                                      NaN          target   \n",
       "115                                      NaN          target   \n",
       "116                                      NaN          target   \n",
       "117                          L01BC03|L01BC53          target   \n",
       "118                                      NaN          target   \n",
       "119                                      NaN          target   \n",
       "120                                      NaN          target   \n",
       "121                                  L01BA03          target   \n",
       "\n",
       "                                      Drugs_Categories  \\\n",
       "72                                                 NaN   \n",
       "73                                                 NaN   \n",
       "74   Abortifacient Agents|Abortifacient Agents, Non...   \n",
       "75                                                 NaN   \n",
       "76   Anti-Infective Agents|Antibiotics for Pneumocy...   \n",
       "77                                                 NaN   \n",
       "78   Biological Factors|Enzyme Inhibitors|Folic Aci...   \n",
       "79   Adenine Nucleotides|Carbohydrates|Coenzymes|En...   \n",
       "80   Amino Acids|Amino Acids, Acidic|Amino Acids, D...   \n",
       "81   Agents causing hyperkalemia|Agents producing t...   \n",
       "82   Antineoplastic Agents|Enzyme Inhibitors|Folic ...   \n",
       "83                                                 NaN   \n",
       "84                                                 NaN   \n",
       "85                                                 NaN   \n",
       "86                                                 NaN   \n",
       "87                                                 NaN   \n",
       "88   Antimetabolites|Antineoplastic Agents|Antineop...   \n",
       "89                                                 NaN   \n",
       "90                                                 NaN   \n",
       "91                                                 NaN   \n",
       "92   Acids, Acyclic|Acids, Aldehydic|Anti-Infective...   \n",
       "93   Amidines|Anti-Infective Agents|Antimalarials|A...   \n",
       "94   Antibacterials for Systemic Use|Antiinfectives...   \n",
       "95                                                 NaN   \n",
       "96                                                 NaN   \n",
       "97   Agents that produce neuromuscular block (indir...   \n",
       "98   Biological Factors|Coenzymes|Enzymes and Coenz...   \n",
       "99                                                 NaN   \n",
       "100                                                NaN   \n",
       "101                                                NaN   \n",
       "102                                                NaN   \n",
       "103  Antimetabolites|Antineoplastic Agents|Antineop...   \n",
       "104  Antimetabolites|Antineoplastic Agents|Antineop...   \n",
       "105  Abortifacient Agents|Abortifacient Agents, Non...   \n",
       "106  Antimetabolites|Antineoplastic Agents|Antineop...   \n",
       "107  Carbohydrates|Deoxyribonucleosides|Deoxyuridin...   \n",
       "108  Anti-Infective Agents|Antimetabolites|Antineop...   \n",
       "109  Anti-Infective Agents|Antimetabolites|Antineop...   \n",
       "110  Amino Acids|Amino Acids, Acidic|Amino Acids, D...   \n",
       "111  Antimetabolites|Antineoplastic Agents|Antineop...   \n",
       "112                                                NaN   \n",
       "113                                                NaN   \n",
       "114                                                NaN   \n",
       "115  Carbohydrates|Deoxyribonucleotides|Glycosides|...   \n",
       "116  Acids, Acyclic|Dicarboxylic Acids|Heterocyclic...   \n",
       "117  Antimetabolites|Antineoplastic Agents|Antineop...   \n",
       "118  Carbohydrates|Deoxyribonucleotides|Glycosides|...   \n",
       "119  Cytochrome P-450 CYP2A6 Substrates|Cytochrome ...   \n",
       "120                                                NaN   \n",
       "121  Antimetabolites|Antineoplastic Agents|Antineop...   \n",
       "\n",
       "                                      side_effect_name  \\\n",
       "72                                                 NaN   \n",
       "73                                                 NaN   \n",
       "74   ['CNS toxicity', 'Gastrointestinal toxicity', ...   \n",
       "75                                                 NaN   \n",
       "76                                                 NaN   \n",
       "77                                                 NaN   \n",
       "78                                                 NaN   \n",
       "79                                                 NaN   \n",
       "80                                                 NaN   \n",
       "81                                                 NaN   \n",
       "82                                                 NaN   \n",
       "83                                                 NaN   \n",
       "84                                                 NaN   \n",
       "85                                                 NaN   \n",
       "86                                                 NaN   \n",
       "87                                                 NaN   \n",
       "88                                                 NaN   \n",
       "89                                                 NaN   \n",
       "90                                                 NaN   \n",
       "91                                                 NaN   \n",
       "92                                  ['Hepatotoxicity']   \n",
       "93                                                 NaN   \n",
       "94                                                 NaN   \n",
       "95                                                 NaN   \n",
       "96                                                 NaN   \n",
       "97   ['Nephropathy toxic', 'Nephrotoxicity', 'Neuro...   \n",
       "98                                                 NaN   \n",
       "99                                                 NaN   \n",
       "100                                                NaN   \n",
       "101                                                NaN   \n",
       "102                                                NaN   \n",
       "103              ['Cardiotoxicity', 'Ocular toxicity']   \n",
       "104  ['Gastrointestinal toxicity', 'Hepatotoxicity'...   \n",
       "105  ['CNS toxicity', 'Gastrointestinal toxicity', ...   \n",
       "106                                  ['Skin toxicity']   \n",
       "107                                                NaN   \n",
       "108                                                NaN   \n",
       "109  ['Cardiotoxicity', 'Hepatotoxicity', 'Nephropa...   \n",
       "110                                                NaN   \n",
       "111                                                NaN   \n",
       "112                                                NaN   \n",
       "113                                                NaN   \n",
       "114                                                NaN   \n",
       "115                                                NaN   \n",
       "116                                                NaN   \n",
       "117                                                NaN   \n",
       "118                                                NaN   \n",
       "119                                                NaN   \n",
       "120                                                NaN   \n",
       "121                                                NaN   \n",
       "\n",
       "                                     Meddra_Indication  \n",
       "72                                                 NaN  \n",
       "73                                                 NaN  \n",
       "74   ['Acute leukaemia', 'Acute lymphocytic leukaem...  \n",
       "75                                                 NaN  \n",
       "76                        ['Malaria', 'Toxoplasmosis']  \n",
       "77                                                 NaN  \n",
       "78                                                 NaN  \n",
       "79                                                 NaN  \n",
       "80   ['Breast cancer', 'Mesothelioma', 'Non-small c...  \n",
       "81   ['Affective disorder', 'Bipolar I disorder', '...  \n",
       "82                                                 NaN  \n",
       "83   ['Anorectal infection', 'Bacterial infection',...  \n",
       "84                                                 NaN  \n",
       "85                                                 NaN  \n",
       "86                                                 NaN  \n",
       "87                                                 NaN  \n",
       "88   ['Febrile neutropenia', 'Mucosal inflammation'...  \n",
       "89                                                 NaN  \n",
       "90                                                 NaN  \n",
       "91                                                 NaN  \n",
       "92   ['Acquired immunodeficiency syndrome', 'Autoim...  \n",
       "93   ['Drug interaction', 'Plasmodium falciparum in...  \n",
       "94                                                 NaN  \n",
       "95                                                 NaN  \n",
       "96                                                 NaN  \n",
       "97   ['Abortion infected', 'Acne pustular', 'Arthro...  \n",
       "98                                                 NaN  \n",
       "99                                                 NaN  \n",
       "100                                                NaN  \n",
       "101                                                NaN  \n",
       "102                                                NaN  \n",
       "103  ['Actinic keratosis', 'Basal cell carcinoma', ...  \n",
       "104  ['Breast cancer', 'Breast cancer stage IV', 'C...  \n",
       "105  ['Acute leukaemia', 'Acute lymphocytic leukaem...  \n",
       "106                                 ['Adenocarcinoma']  \n",
       "107                                                NaN  \n",
       "108  ['Herpes simplex', 'Hypersensitivity', 'Kerati...  \n",
       "109  ['Adenocarcinoma pancreas', 'Alcohol abuse', '...  \n",
       "110  ['Breast cancer', 'Mesothelioma', 'Non-small c...  \n",
       "111  ['Febrile neutropenia', 'Mucosal inflammation'...  \n",
       "112                                                NaN  \n",
       "113                                                NaN  \n",
       "114  ['Dermatitis', 'Latent tuberculosis', 'Psorias...  \n",
       "115                                                NaN  \n",
       "116                                                NaN  \n",
       "117                                                NaN  \n",
       "118                                                NaN  \n",
       "119                                                NaN  \n",
       "120                                                NaN  \n",
       "121  ['Breast cancer', 'Cardiotoxicity', 'Colorecta...  "
      ]
     },
     "execution_count": 603,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 592,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "inhibitor        18\n",
       "substrate        11\n",
       "product of        2\n",
       "cofactor          2\n",
       "antagonist        2\n",
       "activator         1\n",
       "other/unknown     1\n",
       "inducer           1\n",
       "Name: Drugs_Action, dtype: int64"
      ]
     },
     "execution_count": 592,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Drugs_Action.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 593,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(122, 16)"
      ]
     },
     "execution_count": 593,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 594,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Valaciclovir'"
      ]
     },
     "execution_count": 594,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Drugs[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 595,
   "metadata": {},
   "outputs": [],
   "source": [
    "df  = df[df.Drugs.notna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 596,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(122, 16)"
      ]
     },
     "execution_count": 596,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 597,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "experimental                              54\n",
       "approved|investigational                  19\n",
       "approved                                  16\n",
       "approved|nutraceutical                     8\n",
       "approved|investigational|nutraceutical     6\n",
       "investigational                            6\n",
       "approved|investigational|vet_approved      2\n",
       "approved|nutraceutical|vet_approved        2\n",
       "approved|experimental                      2\n",
       "approved|vet_approved                      2\n",
       "approved|experimental|investigational      1\n",
       "nutraceutical                              1\n",
       "experimental|investigational               1\n",
       "investigational|nutraceutical              1\n",
       "investigational|withdrawn                  1\n",
       "Name: Drugs_Group, dtype: int64"
      ]
     },
     "execution_count": 597,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Drugs_Group.value_counts()#.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 600,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genes</th>\n",
       "      <th>Phenotype_Safety_x</th>\n",
       "      <th>Phenotype_Essentiality_x</th>\n",
       "      <th>Phenotype_Safety_y</th>\n",
       "      <th>Phenotype_Essentiality_y</th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Drugs</th>\n",
       "      <th>Drugs_Action</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>ATC_Code</th>\n",
       "      <th>Gene_Categories</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Amino Acids|Amino A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Glutamic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>A09AB01</td>\n",
       "      <td>target</td>\n",
       "      <td>Acid Preparations|Alimentary Tract and Metabol...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9791.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PTDSS1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Carbohydrates|Dietary Supplements|Gly...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Pyridoxal phosphate</td>\n",
       "      <td>cofactor</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A11HA06</td>\n",
       "      <td>target</td>\n",
       "      <td>Alimentary Tract and Metabolism|Coenzymes|Diet...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>CTH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Cysteine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Neutral|Amino Acids, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>8140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>L-Glutamine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A16AA03</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Alimentary Tract and Metabolism|Amino Acids|Am...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>11136.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC7A9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Amino Acids|Amino A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>11136.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC7A9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>L-Glutamine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A16AA03</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Alimentary Tract and Metabolism|Amino Acids|Am...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>6519.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SLC3A1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Amino Acids|Amino A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>5338.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>PLD2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Choline</td>\n",
       "      <td>product of</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Amines|Amino Alcohols|Ammonium Compou...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>5338.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>PLD2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Choline salicylate</td>\n",
       "      <td>product of</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>N02BA03</td>\n",
       "      <td>target</td>\n",
       "      <td>Acids, Carbocyclic|Alcohols|Amines|Amino Alcoh...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>9057.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>SLC7A6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>L-Glutamine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A16AA03</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Alimentary Tract and Metabolism|Amino Acids|Am...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>189.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>AGXT</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Serine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>investigational|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Neutral|Amino Acids, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>189.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>AGXT</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Glycine</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|nutraceutical|vet_approved</td>\n",
       "      <td>B05CX03</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Peptides, and Protein...</td>\n",
       "      <td>['Digitalis toxicity']</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>189.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>AGXT</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pyridoxal phosphate</td>\n",
       "      <td>cofactor</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "      <td>A11HA06</td>\n",
       "      <td>target</td>\n",
       "      <td>Alimentary Tract and Metabolism|Coenzymes|Diet...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>189.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>AGXT</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Alanine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Alanine|Amino Acids|Amino Acids, Peptides, and...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NADH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>target</td>\n",
       "      <td>Adenine Nucleotides|Carbohydrates|Coenzymes|Di...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1719.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DHFR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Folic acid</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|nutraceutical|vet_approved</td>\n",
       "      <td>B03AE02|B03BB01|B03AE01|B03BB51</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Antianemic Preparations|Autacoids|BCRP/ABCG2 S...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Anaemia', 'Anaemia megaloblastic', 'Coeliac ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Genes  Phenotype_Safety_x  Phenotype_Essentiality_x  Phenotype_Safety_y  \\\n",
       "6   23657.0                 1.0                       2.0                 0.0   \n",
       "9   23657.0                 1.0                       2.0                 0.0   \n",
       "17   9791.0                 2.0                       3.0                 1.0   \n",
       "26   1491.0                 1.0                       2.0                 1.0   \n",
       "28   1491.0                 1.0                       2.0                 1.0   \n",
       "38   8140.0                 0.0                       0.0                 1.0   \n",
       "42  11136.0                 2.0                       2.0                 0.0   \n",
       "43  11136.0                 2.0                       2.0                 0.0   \n",
       "44   6519.0                 2.0                       2.0                 0.0   \n",
       "50   5338.0                 0.0                       0.0                 0.0   \n",
       "51   5338.0                 0.0                       0.0                 0.0   \n",
       "52   9057.0                 0.0                       0.0                 1.0   \n",
       "54    189.0                 1.0                       1.0                 0.0   \n",
       "55    189.0                 1.0                       1.0                 0.0   \n",
       "57    189.0                 1.0                       1.0                 0.0   \n",
       "58    189.0                 1.0                       1.0                 0.0   \n",
       "70   1719.0                 1.0                       1.0                 0.0   \n",
       "71   1719.0                 1.0                       1.0                 0.0   \n",
       "\n",
       "    Phenotype_Essentiality_y Gene_Symbol  Phenotype_Essentiality  \\\n",
       "6                        3.0     SLC7A11                     5.0   \n",
       "9                        3.0     SLC7A11                     5.0   \n",
       "17                       1.0      PTDSS1                     4.0   \n",
       "26                       2.0         CTH                     4.0   \n",
       "28                       2.0         CTH                     4.0   \n",
       "38                       3.0      SLC7A5                     3.0   \n",
       "42                       0.0      SLC7A9                     2.0   \n",
       "43                       0.0      SLC7A9                     2.0   \n",
       "44                       0.0      SLC3A1                     2.0   \n",
       "50                       2.0        PLD2                     2.0   \n",
       "51                       2.0        PLD2                     2.0   \n",
       "52                       2.0      SLC7A6                     2.0   \n",
       "54                       0.0        AGXT                     1.0   \n",
       "55                       0.0        AGXT                     1.0   \n",
       "57                       0.0        AGXT                     1.0   \n",
       "58                       0.0        AGXT                     1.0   \n",
       "70                       0.0        DHFR                     1.0   \n",
       "71                       0.0        DHFR                     1.0   \n",
       "\n",
       "    Phenotype_Safety                Drugs Drugs_Action  \\\n",
       "6                1.0              Cystine          NaN   \n",
       "9                1.0        Glutamic acid          NaN   \n",
       "17               3.0  Phosphatidyl serine          NaN   \n",
       "26               2.0  Pyridoxal phosphate     cofactor   \n",
       "28               2.0             Cysteine          NaN   \n",
       "38               1.0          L-Glutamine    substrate   \n",
       "42               2.0              Cystine          NaN   \n",
       "43               2.0          L-Glutamine    substrate   \n",
       "44               2.0              Cystine          NaN   \n",
       "50               1.0              Choline   product of   \n",
       "51               1.0   Choline salicylate   product of   \n",
       "52               1.0          L-Glutamine    substrate   \n",
       "54               1.0               Serine          NaN   \n",
       "55               1.0              Glycine    substrate   \n",
       "57               1.0  Pyridoxal phosphate     cofactor   \n",
       "58               1.0              Alanine          NaN   \n",
       "70               1.0                 NADH          NaN   \n",
       "71               1.0           Folic acid    substrate   \n",
       "\n",
       "                               Drugs_Group                         ATC_Code  \\\n",
       "6                   approved|nutraceutical                              NaN   \n",
       "9                   approved|nutraceutical                          A09AB01   \n",
       "17  approved|investigational|nutraceutical                              NaN   \n",
       "26  approved|investigational|nutraceutical                          A11HA06   \n",
       "28                  approved|nutraceutical                              NaN   \n",
       "38  approved|investigational|nutraceutical                          A16AA03   \n",
       "42                  approved|nutraceutical                              NaN   \n",
       "43  approved|investigational|nutraceutical                          A16AA03   \n",
       "44                  approved|nutraceutical                              NaN   \n",
       "50                  approved|nutraceutical                              NaN   \n",
       "51                  approved|nutraceutical                          N02BA03   \n",
       "52  approved|investigational|nutraceutical                          A16AA03   \n",
       "54           investigational|nutraceutical                              NaN   \n",
       "55     approved|nutraceutical|vet_approved                          B05CX03   \n",
       "57  approved|investigational|nutraceutical                          A11HA06   \n",
       "58                           nutraceutical                              NaN   \n",
       "70                  approved|nutraceutical                              NaN   \n",
       "71     approved|nutraceutical|vet_approved  B03AE02|B03BB01|B03AE01|B03BB51   \n",
       "\n",
       "   Gene_Categories                                   Drugs_Categories  \\\n",
       "6           target  Acids|Acids, Noncarboxylic|Amino Acids|Amino A...   \n",
       "9           target  Acid Preparations|Alimentary Tract and Metabol...   \n",
       "17          target  Alcohols|Carbohydrates|Dietary Supplements|Gly...   \n",
       "26          target  Alimentary Tract and Metabolism|Coenzymes|Diet...   \n",
       "28          target  Amino Acids|Amino Acids, Neutral|Amino Acids, ...   \n",
       "38     transporter  Alimentary Tract and Metabolism|Amino Acids|Am...   \n",
       "42          target  Acids|Acids, Noncarboxylic|Amino Acids|Amino A...   \n",
       "43     transporter  Alimentary Tract and Metabolism|Amino Acids|Am...   \n",
       "44          target  Acids|Acids, Noncarboxylic|Amino Acids|Amino A...   \n",
       "50          target  Alcohols|Amines|Amino Alcohols|Ammonium Compou...   \n",
       "51          target  Acids, Carbocyclic|Alcohols|Amines|Amino Alcoh...   \n",
       "52     transporter  Alimentary Tract and Metabolism|Amino Acids|Am...   \n",
       "54          target  Amino Acids|Amino Acids, Neutral|Amino Acids, ...   \n",
       "55          target  Amino Acids|Amino Acids, Peptides, and Protein...   \n",
       "57          target  Alimentary Tract and Metabolism|Coenzymes|Diet...   \n",
       "58          target  Alanine|Amino Acids|Amino Acids, Peptides, and...   \n",
       "70          target  Adenine Nucleotides|Carbohydrates|Coenzymes|Di...   \n",
       "71          enzyme  Antianemic Preparations|Autacoids|BCRP/ABCG2 S...   \n",
       "\n",
       "          side_effect_name                                  Meddra_Indication  \n",
       "6                      NaN                                                NaN  \n",
       "9                      NaN                                                NaN  \n",
       "17                     NaN                                                NaN  \n",
       "26                     NaN                                                NaN  \n",
       "28                     NaN                                                NaN  \n",
       "38                     NaN                                                NaN  \n",
       "42                     NaN                                                NaN  \n",
       "43                     NaN                                                NaN  \n",
       "44                     NaN                                                NaN  \n",
       "50                     NaN                                                NaN  \n",
       "51                     NaN                                                NaN  \n",
       "52                     NaN                                                NaN  \n",
       "54                     NaN                                                NaN  \n",
       "55  ['Digitalis toxicity']                                                NaN  \n",
       "57                     NaN                                                NaN  \n",
       "58                     NaN                                                NaN  \n",
       "70                     NaN                                                NaN  \n",
       "71                     NaN  ['Anaemia', 'Anaemia megaloblastic', 'Coeliac ...  "
      ]
     },
     "execution_count": 600,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Drugs_Group.str.contains('nutraceutical')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 607,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.loc[~df.Drugs_Group.str.contains('withdrawn'),:]\n",
    "df = df.loc[df.Drugs_Group != 'experimental',:]\n",
    "df = df.loc[~df.Drugs_Group.str.contains('nutraceutical'),:]\n",
    "#df = df.loc[~df.Drugs.isin(['Ethanol','NAH']),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 608,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "inhibitor        17\n",
       "substrate         6\n",
       "antagonist        2\n",
       "activator         1\n",
       "other/unknown     1\n",
       "inducer           1\n",
       "Name: Drugs_Action, dtype: int64"
      ]
     },
     "execution_count": 608,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Drugs_Action.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 609,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49, 16)"
      ]
     },
     "execution_count": 609,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 610,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49"
      ]
     },
     "execution_count": 610,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.Drugs.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 611,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = df[df.Drugs_Group.str.contains('approved')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 612,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49, 16)"
      ]
     },
     "execution_count": 612,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 613,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8,)"
      ]
     },
     "execution_count": 613,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Genes.unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 616,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genes</th>\n",
       "      <th>Phenotype_Safety_x</th>\n",
       "      <th>Phenotype_Essentiality_x</th>\n",
       "      <th>Phenotype_Safety_y</th>\n",
       "      <th>Phenotype_Essentiality_y</th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Drugs</th>\n",
       "      <th>Drugs_Action</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>ATC_Code</th>\n",
       "      <th>Gene_Categories</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2987.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>J05AB11</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Acyclovir and prodrug|Amino Acids|Amino Acids,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Congenital herpes simplex infection', 'Derma...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2987.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>substrate</td>\n",
       "      <td>approved</td>\n",
       "      <td>J05AB01|D06BB03|S01AD03|D06BB53</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Acyclovir and prodrug|Anti-Infective Agents|An...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Acquired immunodeficiency syndrome', 'Autoim...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51477.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Glycerin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>A06AX01|A06AG04</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Alimentary Tract and Metabolism|Basic...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Riluzole</td>\n",
       "      <td>inducer</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>N07XX02</td>\n",
       "      <td>target</td>\n",
       "      <td>Anticonvulsants|BCRP/ABCG2 Substrates|Benzothi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Amyotrophic lateral sclerosis', 'Lower motor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>23657.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Taurocholic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>approved|experimental</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Genes  Phenotype_Safety_x  Phenotype_Essentiality_x  Phenotype_Safety_y  \\\n",
       "0    2987.0                 3.0                      10.0                 0.0   \n",
       "1    2987.0                 3.0                      10.0                 0.0   \n",
       "3   51477.0                 0.0                       2.0                 1.0   \n",
       "7   23657.0                 1.0                       2.0                 0.0   \n",
       "10  23657.0                 1.0                       2.0                 0.0   \n",
       "\n",
       "    Phenotype_Essentiality_y Gene_Symbol  Phenotype_Essentiality  \\\n",
       "0                        6.0        GUK1                    16.0   \n",
       "1                        6.0        GUK1                    16.0   \n",
       "3                        7.0      ISYNA1                     9.0   \n",
       "7                        3.0     SLC7A11                     5.0   \n",
       "10                       3.0     SLC7A11                     5.0   \n",
       "\n",
       "    Phenotype_Safety             Drugs Drugs_Action               Drugs_Group  \\\n",
       "0                3.0      Valaciclovir    substrate  approved|investigational   \n",
       "1                3.0         Acyclovir    substrate                  approved   \n",
       "3                1.0          Glycerin          NaN  approved|investigational   \n",
       "7                1.0          Riluzole      inducer  approved|investigational   \n",
       "10               1.0  Taurocholic acid          NaN     approved|experimental   \n",
       "\n",
       "                           ATC_Code Gene_Categories  \\\n",
       "0                           J05AB11          enzyme   \n",
       "1   J05AB01|D06BB03|S01AD03|D06BB53          enzyme   \n",
       "3                   A06AX01|A06AG04          target   \n",
       "7                           N07XX02          target   \n",
       "10                              NaN     transporter   \n",
       "\n",
       "                                     Drugs_Categories side_effect_name  \\\n",
       "0   Acyclovir and prodrug|Amino Acids|Amino Acids,...              NaN   \n",
       "1   Acyclovir and prodrug|Anti-Infective Agents|An...              NaN   \n",
       "3   Alcohols|Alimentary Tract and Metabolism|Basic...              NaN   \n",
       "7   Anticonvulsants|BCRP/ABCG2 Substrates|Benzothi...              NaN   \n",
       "10  Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...              NaN   \n",
       "\n",
       "                                    Meddra_Indication  \n",
       "0   ['Congenital herpes simplex infection', 'Derma...  \n",
       "1   ['Acquired immunodeficiency syndrome', 'Autoim...  \n",
       "3                                                 NaN  \n",
       "7   ['Amyotrophic lateral sclerosis', 'Lower motor...  \n",
       "10                                                NaN  "
      ]
     },
     "execution_count": 616,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 617,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs</th>\n",
       "      <th>Drugs_Action</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Gene_Categories</th>\n",
       "      <th>ATC_Code</th>\n",
       "      <th>Gene_Categories</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GUK1</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>substrate</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>J05AB11</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Acyclovir and prodrug|Amino Acids|Amino Acids,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Congenital herpes simplex infection', 'Derma...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GUK1</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>substrate</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>approved</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>J05AB01|D06BB03|S01AD03|D06BB53</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>Acyclovir and prodrug|Anti-Infective Agents|An...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Acquired immunodeficiency syndrome', 'Autoim...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ISYNA1</td>\n",
       "      <td>Glycerin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>target</td>\n",
       "      <td>A06AX01|A06AG04</td>\n",
       "      <td>target</td>\n",
       "      <td>Alcohols|Alimentary Tract and Metabolism|Basic...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>Riluzole</td>\n",
       "      <td>inducer</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>target</td>\n",
       "      <td>N07XX02</td>\n",
       "      <td>target</td>\n",
       "      <td>Anticonvulsants|BCRP/ABCG2 Substrates|Benzothi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Amyotrophic lateral sclerosis', 'Lower motor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>Taurocholic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>approved|experimental</td>\n",
       "      <td>transporter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>Alanosine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>investigational</td>\n",
       "      <td>transporter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Amino Acids|Amino Acids, Peptides, and Protein...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>Thimerosal</td>\n",
       "      <td>antagonist</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>approved</td>\n",
       "      <td>target</td>\n",
       "      <td>D08AK06</td>\n",
       "      <td>target</td>\n",
       "      <td>Alkylmercury Compounds|Antiseptics and Disinfe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>Tauroursodeoxycholic acid</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>experimental|investigational</td>\n",
       "      <td>transporter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>Rosuvastatin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>approved</td>\n",
       "      <td>transporter</td>\n",
       "      <td>C10BX10|C10BX05|C10BX07|C10AA07|A10BH52|G01AE1...</td>\n",
       "      <td>transporter</td>\n",
       "      <td>Agents Causing Muscle Toxicity|Alimentary Trac...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>Acetylcysteine</td>\n",
       "      <td>activator</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>target</td>\n",
       "      <td>R05CB01|S01XA08|V03AB23</td>\n",
       "      <td>target</td>\n",
       "      <td>Amino Acids|Amino Acids, Neutral|Amino Acids, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Aspartate aminotransferase increased', 'Asth...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gene_Symbol                      Drugs Drugs_Action  Phenotype_Safety  \\\n",
       "0         GUK1               Valaciclovir    substrate               3.0   \n",
       "1         GUK1                  Acyclovir    substrate               3.0   \n",
       "3       ISYNA1                   Glycerin          NaN               1.0   \n",
       "7      SLC7A11                   Riluzole      inducer               1.0   \n",
       "10     SLC7A11           Taurocholic acid          NaN               1.0   \n",
       "11     SLC7A11                  Alanosine          NaN               1.0   \n",
       "12     SLC7A11                 Thimerosal   antagonist               1.0   \n",
       "13     SLC7A11  Tauroursodeoxycholic acid          NaN               1.0   \n",
       "14     SLC7A11               Rosuvastatin          NaN               1.0   \n",
       "15     SLC7A11             Acetylcysteine    activator               1.0   \n",
       "\n",
       "    Phenotype_Essentiality                   Drugs_Group Gene_Categories  \\\n",
       "0                     16.0      approved|investigational          enzyme   \n",
       "1                     16.0                      approved          enzyme   \n",
       "3                      9.0      approved|investigational          target   \n",
       "7                      5.0      approved|investigational          target   \n",
       "10                     5.0         approved|experimental     transporter   \n",
       "11                     5.0               investigational     transporter   \n",
       "12                     5.0                      approved          target   \n",
       "13                     5.0  experimental|investigational     transporter   \n",
       "14                     5.0                      approved     transporter   \n",
       "15                     5.0      approved|investigational          target   \n",
       "\n",
       "                                             ATC_Code Gene_Categories  \\\n",
       "0                                             J05AB11          enzyme   \n",
       "1                     J05AB01|D06BB03|S01AD03|D06BB53          enzyme   \n",
       "3                                     A06AX01|A06AG04          target   \n",
       "7                                             N07XX02          target   \n",
       "10                                                NaN     transporter   \n",
       "11                                                NaN     transporter   \n",
       "12                                            D08AK06          target   \n",
       "13                                                NaN     transporter   \n",
       "14  C10BX10|C10BX05|C10BX07|C10AA07|A10BH52|G01AE1...     transporter   \n",
       "15                            R05CB01|S01XA08|V03AB23          target   \n",
       "\n",
       "                                     Drugs_Categories side_effect_name  \\\n",
       "0   Acyclovir and prodrug|Amino Acids|Amino Acids,...              NaN   \n",
       "1   Acyclovir and prodrug|Anti-Infective Agents|An...              NaN   \n",
       "3   Alcohols|Alimentary Tract and Metabolism|Basic...              NaN   \n",
       "7   Anticonvulsants|BCRP/ABCG2 Substrates|Benzothi...              NaN   \n",
       "10  Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...              NaN   \n",
       "11  Amino Acids|Amino Acids, Peptides, and Protein...              NaN   \n",
       "12  Alkylmercury Compounds|Antiseptics and Disinfe...              NaN   \n",
       "13  Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...              NaN   \n",
       "14  Agents Causing Muscle Toxicity|Alimentary Trac...              NaN   \n",
       "15  Amino Acids|Amino Acids, Neutral|Amino Acids, ...              NaN   \n",
       "\n",
       "                                    Meddra_Indication  \n",
       "0   ['Congenital herpes simplex infection', 'Derma...  \n",
       "1   ['Acquired immunodeficiency syndrome', 'Autoim...  \n",
       "3                                                 NaN  \n",
       "7   ['Amyotrophic lateral sclerosis', 'Lower motor...  \n",
       "10                                                NaN  \n",
       "11                                                NaN  \n",
       "12                                                NaN  \n",
       "13                                                NaN  \n",
       "14                                                NaN  \n",
       "15  ['Aspartate aminotransferase increased', 'Asth...  "
      ]
     },
     "execution_count": 617,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "sko_db_drugs = df.loc[:,['Gene_Symbol','Drugs','Drugs_Action',#'GTEx_Safety_Class',\n",
    "                           'Phenotype_Safety','Phenotype_Essentiality',#'GTEx_Safety',\n",
    "                           'Drugs_Group',\n",
    "                          'Gene_Categories','ATC_Code','Gene_Categories','Drugs_Categories','side_effect_name',\n",
    "                          'Meddra_Indication']]\n",
    "sko_db_drugs.to_csv('KO_data/SKO_db_Drugs.csv')\n",
    "# With detailed toxicity for GTEx\n",
    "#df.to_csv('Drug_Repurposing_Results_/SKO_db_Drugs_Detailed_Toxicity.csv')\n",
    "#sko_db_drugs.to_csv('Drug_Repurposing_Results_/SKO_db_Drugs.csv')\n",
    "sko_db_drugs.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 618,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Drugs that are Mainly Renally Excreted        20\n",
       "Antineoplastic Agents                         18\n",
       "Antimetabolites                               16\n",
       "Immunosuppressive Agents                      15\n",
       "Antineoplastic and Immunomodulating Agents    15\n",
       "Toxic Actions                                 14\n",
       "Enzyme Inhibitors                             14\n",
       "Anti-Infective Agents                         14\n",
       "Noxae                                         14\n",
       "Cytochrome P-450 Substrates                   13\n",
       "Name: 0, dtype: int64"
      ]
     },
     "execution_count": 618,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Classify drug categrories\n",
    "drug_categories = sko_db_drugs.Drugs_Categories.str.split('|').squeeze().tolist()\n",
    "drug_categories = [x for x in drug_categories if str(x) !='nan']\n",
    "drug_categories = np.concatenate(drug_categories)\n",
    "drug_categories = pd.DataFrame(drug_categories)\n",
    "drug_categories[0].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 619,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Classify drug indications\n",
    "drug_indications = sko_db_drugs.Meddra_Indication.squeeze().tolist()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 620,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sko_db_drugs.loc[sko_db_drugs.Drugs_Action.isin(['inhibitor','antagonist']),:].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 621,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.Drugs.to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 622,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8,)"
      ]
     },
     "execution_count": 622,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko_db_drugs.Gene_Symbol.unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 623,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49, 12)"
      ]
     },
     "execution_count": 623,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko_db_drugs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 624,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11, 12)"
      ]
     },
     "execution_count": 624,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# SKO Drugs with known toxic side effect\n",
    "sko_db_drugs_toxic = sko_db_drugs.loc[~sko_db_drugs.side_effect_name.isna(),:]\n",
    "sko_db_drugs_toxic.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 625,
   "metadata": {},
   "outputs": [],
   "source": [
    "sko_db_drugs_toxic[['Gene_Symbol','Drugs','side_effect_name']].to_csv('./KO_data/SKO_Drugs_SIDER_toxicity.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 626,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49, 12)"
      ]
     },
     "execution_count": 626,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko_db_drugs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 627,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "approved|investigational                 19\n",
       "approved                                 16\n",
       "investigational                           6\n",
       "approved|investigational|vet_approved     2\n",
       "approved|experimental                     2\n",
       "approved|vet_approved                     2\n",
       "approved|experimental|investigational     1\n",
       "experimental|investigational              1\n",
       "Name: Drugs_Group, dtype: int64"
      ]
     },
     "execution_count": 627,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sko_db_drugs.Drugs_Group.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 628,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 720x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x972 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sko_db_drugs_hm =  sko_db_drugs.pivot_table(index='Drugs',columns = 'Gene_Symbol',values='Phenotype_Essentiality')\n",
    "sko_db_drugs_hm = sko_db_drugs_hm.fillna(0)\n",
    "plt.figure(figsize = (10,20))\n",
    "ax = sns.clustermap(sko_db_drugs_hm.astype('int'),cmap='Blues',\n",
    "                   col_cluster=True,row_cluster=True,mask=False,\n",
    "                   #standard_scale=0,\n",
    "                   yticklabels=True,\n",
    "                   #square=True,\n",
    "                   figsize=(12,(.3*(len(sko_db_drugs_hm.index)))))#,col_cluster=False,row_cluster=False)heatmap(enrich_coverage_all.iloc[:,4:], annot=True, linewidths=0.5)\n",
    "#bottom, top = ax.get_ylim()\n",
    "#ax.set_ylim(bottom + 0.5, top - 0.5)\n",
    "#ax.set_xticklabels(ax.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 629,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45, 7)"
      ]
     },
     "execution_count": 629,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques = df.groupby('Drugs').agg({'Gene_Symbol': lambda x: list(x),'Gene_Symbol': lambda x: list(x),\n",
    "                                      #'Gene_Symbol': lambda x: list(x),'Gene_Symbol': lambda x: list(x),\n",
    "                                      #'Gene_Symbol': lambda x: list(x),'Gene_Symbol': lambda x: list(x),\n",
    "                                      'Drugs_Group': lambda x: list(x),'Drugs_Group': lambda x: list(x),\n",
    "                                      'Phenotype_Safety': lambda x: list(x),'Phenotype_Safety': lambda x: np.mean(x),\n",
    "                                      'Phenotype_Essentiality': lambda x: list(x),'Phenotype_Essentiality': lambda x: np.mean(x),\n",
    "                                      #'GTEx_Safety': lambda x: list(x),'GTEx_Safety': lambda x: np.mean(x),\n",
    "                                      #'GTEx_Safety_Class': lambda x: list(x),'GTEx_Safety_Class': lambda x: list(x),\n",
    "                                      'side_effect_name': lambda x: list(x),'side_effect_name': lambda x: list(x),\n",
    "                                      'Drugs_Categories': lambda x: list(x),'Drugs_Categories': lambda x: list(x)[0]\n",
    "                                     })\n",
    "df_uniques['Number_Genes'] = df_uniques['Gene_Symbol'].apply(lambda x: len(x))\n",
    "#df_uniques['side_effect_name'] = df_uniques['side_effect_name'].apply(lambda x: np.unique(np.squeeze(x)).tolist())\n",
    "\n",
    "df_uniques= df_uniques.sort_values(by=['Phenotype_Essentiality'],ascending=False)\n",
    "df_uniques.to_csv('KO_data/SKO_db_Drugs_Unique.csv')\n",
    "df_uniques.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 630,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Valaciclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acyclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glycerin</th>\n",
       "      <td>[ISYNA1]</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sulfasalazine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Taurocholic acid</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tauroursodeoxycholic acid</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acetylcysteine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Riluzole</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thimerosal</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosuvastatin</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alanosine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lamivudine</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sofosbuvir</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Melphalan</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gabapentin</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thyroid, porcine</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Levodopa</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Levothyroxine</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liothyronine</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pregabalin</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dextrothyroxine</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine</th>\n",
       "      <td>[CMPK1, TYMS]</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lactose</th>\n",
       "      <td>[GLTP]</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lauric acid</th>\n",
       "      <td>[GLTP]</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oleic Acid</th>\n",
       "      <td>[GLTP]</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thymectacin</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trimetrexate</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tegafur</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tegafur-uracil</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANX-510</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raltitrexed</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pyrimethamine</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Proguanil</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pralatrexate</th>\n",
       "      <td>[DHFR, TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Piritrexim</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pemetrexed</th>\n",
       "      <td>[DHFR, TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate</th>\n",
       "      <td>[DHFR, TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lamotrigine</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iclaprim</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gentamicin</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fluorouracil</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Floxuridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capecitabine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OSI-7904L</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Gene_Symbol  Phenotype_Essentiality  \\\n",
       "Drugs                                                              \n",
       "Valaciclovir                      [GUK1]                    16.0   \n",
       "Acyclovir                         [GUK1]                    16.0   \n",
       "Glycerin                        [ISYNA1]                     9.0   \n",
       "Sulfasalazine                  [SLC7A11]                     5.0   \n",
       "Taurocholic acid               [SLC7A11]                     5.0   \n",
       "Tauroursodeoxycholic acid      [SLC7A11]                     5.0   \n",
       "Acetylcysteine                 [SLC7A11]                     5.0   \n",
       "Riluzole                       [SLC7A11]                     5.0   \n",
       "Thimerosal                     [SLC7A11]                     5.0   \n",
       "Rosuvastatin                   [SLC7A11]                     5.0   \n",
       "Alanosine                      [SLC7A11]                     5.0   \n",
       "Lamivudine                       [CMPK1]                     4.0   \n",
       "Sofosbuvir                       [CMPK1]                     4.0   \n",
       "Melphalan                       [SLC7A5]                     3.0   \n",
       "Gabapentin                      [SLC7A5]                     3.0   \n",
       "Thyroid, porcine                [SLC7A5]                     3.0   \n",
       "Levodopa                        [SLC7A5]                     3.0   \n",
       "Levothyroxine                   [SLC7A5]                     3.0   \n",
       "Liothyronine                    [SLC7A5]                     3.0   \n",
       "Pregabalin                      [SLC7A5]                     3.0   \n",
       "Dextrothyroxine                 [SLC7A5]                     3.0   \n",
       "Gemcitabine                [CMPK1, TYMS]                     2.5   \n",
       "Lactose                           [GLTP]                     2.0   \n",
       "Lauric acid                       [GLTP]                     2.0   \n",
       "Oleic Acid                        [GLTP]                     2.0   \n",
       "Thymectacin                       [TYMS]                     1.0   \n",
       "Trimetrexate                      [DHFR]                     1.0   \n",
       "Trifluridine                      [TYMS]                     1.0   \n",
       "Tegafur                           [TYMS]                     1.0   \n",
       "Tegafur-uracil                    [TYMS]                     1.0   \n",
       "ANX-510                           [TYMS]                     1.0   \n",
       "Raltitrexed                       [TYMS]                     1.0   \n",
       "Pyrimethamine                     [DHFR]                     1.0   \n",
       "Proguanil                         [DHFR]                     1.0   \n",
       "Pralatrexate                [DHFR, TYMS]                     1.0   \n",
       "Piritrexim                        [DHFR]                     1.0   \n",
       "Pemetrexed                  [DHFR, TYMS]                     1.0   \n",
       "Methotrexate                [DHFR, TYMS]                     1.0   \n",
       "Lamotrigine                       [DHFR]                     1.0   \n",
       "Iclaprim                          [DHFR]                     1.0   \n",
       "Gentamicin                        [DHFR]                     1.0   \n",
       "Fluorouracil                      [TYMS]                     1.0   \n",
       "Floxuridine                       [TYMS]                     1.0   \n",
       "Capecitabine                      [TYMS]                     1.0   \n",
       "OSI-7904L                         [TYMS]                     1.0   \n",
       "\n",
       "                           Phenotype_Safety  Number_Genes  \n",
       "Drugs                                                      \n",
       "Valaciclovir                            3.0             1  \n",
       "Acyclovir                               3.0             1  \n",
       "Glycerin                                1.0             1  \n",
       "Sulfasalazine                           1.0             1  \n",
       "Taurocholic acid                        1.0             1  \n",
       "Tauroursodeoxycholic acid               1.0             1  \n",
       "Acetylcysteine                          1.0             1  \n",
       "Riluzole                                1.0             1  \n",
       "Thimerosal                              1.0             1  \n",
       "Rosuvastatin                            1.0             1  \n",
       "Alanosine                               1.0             1  \n",
       "Lamivudine                              3.0             1  \n",
       "Sofosbuvir                              3.0             1  \n",
       "Melphalan                               1.0             1  \n",
       "Gabapentin                              1.0             1  \n",
       "Thyroid, porcine                        1.0             1  \n",
       "Levodopa                                1.0             1  \n",
       "Levothyroxine                           1.0             1  \n",
       "Liothyronine                            1.0             1  \n",
       "Pregabalin                              1.0             1  \n",
       "Dextrothyroxine                         1.0             1  \n",
       "Gemcitabine                             2.0             2  \n",
       "Lactose                                 1.0             1  \n",
       "Lauric acid                             1.0             1  \n",
       "Oleic Acid                              1.0             1  \n",
       "Thymectacin                             1.0             1  \n",
       "Trimetrexate                            1.0             1  \n",
       "Trifluridine                            1.0             1  \n",
       "Tegafur                                 1.0             1  \n",
       "Tegafur-uracil                          1.0             1  \n",
       "ANX-510                                 1.0             1  \n",
       "Raltitrexed                             1.0             1  \n",
       "Pyrimethamine                           1.0             1  \n",
       "Proguanil                               1.0             1  \n",
       "Pralatrexate                            1.0             2  \n",
       "Piritrexim                              1.0             1  \n",
       "Pemetrexed                              1.0             2  \n",
       "Methotrexate                            1.0             2  \n",
       "Lamotrigine                             1.0             1  \n",
       "Iclaprim                                1.0             1  \n",
       "Gentamicin                              1.0             1  \n",
       "Fluorouracil                            1.0             1  \n",
       "Floxuridine                             1.0             1  \n",
       "Capecitabine                            1.0             1  \n",
       "OSI-7904L                               1.0             1  "
      ]
     },
     "execution_count": 630,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.iloc[:,:].loc[:,['Gene_Symbol','Phenotype_Essentiality','Phenotype_Safety','Number_Genes']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 631,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8, 7)"
      ]
     },
     "execution_count": 631,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of drugs with toxicity\n",
    "df_uniques.loc[df_uniques.side_effect_name.astype('str').str.contains('toxicity'),:].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 632,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45, 7)"
      ]
     },
     "execution_count": 632,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 633,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Drugs that are Mainly Renally Excreted                            16\n",
       "Antineoplastic Agents                                             14\n",
       "Anti-Infective Agents                                             13\n",
       "Antimetabolites                                                   12\n",
       "Toxic Actions                                                     12\n",
       "Noxae                                                             12\n",
       "Enzyme Inhibitors                                                 11\n",
       "Cytochrome P-450 Substrates                                       11\n",
       "Carbohydrates                                                     11\n",
       "Immunosuppressive Agents                                          11\n",
       "Pyrimidines                                                       11\n",
       "Antineoplastic and Immunomodulating Agents                        11\n",
       "Amino Acids                                                       10\n",
       "Amino Acids, Peptides, and Proteins                               10\n",
       "Folic Acid Antagonists                                             9\n",
       "Nucleic Acid Synthesis Inhibitors                                  9\n",
       "Heterocyclic Compounds, Fused-Ring                                 9\n",
       "Myelosuppressive Agents                                            8\n",
       "Glycosides                                                         8\n",
       "Cytochrome P-450 Enzyme Inhibitors                                 7\n",
       "Nucleic Acids, Nucleotides, and Nucleosides                        7\n",
       "BCRP/ABCG2 Substrates                                              7\n",
       "Sulfur Compounds                                                   7\n",
       "Nucleosides                                                        7\n",
       "Pyrimidine Nucleosides                                             7\n",
       "OAT3/SLC22A8 Substrates                                            7\n",
       "Compounds used in a research, industrial, or household setting     7\n",
       "Pyrimidine Analogues                                               6\n",
       "Ribonucleosides                                                    6\n",
       "P-glycoprotein substrates                                          6\n",
       "Central Nervous System Agents                                      6\n",
       "Antiinfectives for Systemic Use                                    6\n",
       "Deoxyribonucleosides                                               6\n",
       "Cytochrome P-450 CYP3A Substrates                                  6\n",
       "Cytochrome P-450 CYP1A2 Substrates                                 5\n",
       "OAT3/SLC22A8 Inhibitors                                            5\n",
       "OATP1B1/SLCO1B1 Inhibitors                                         5\n",
       "Nephrotoxic agents                                                 5\n",
       "Nervous System                                                     5\n",
       "Central Nervous System Depressants                                 5\n",
       "Name: 0, dtype: int64"
      ]
     },
     "execution_count": 633,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Classify drug categrories\n",
    "drug_categories = df_uniques.Drugs_Categories.str.split('|').squeeze().tolist()\n",
    "drug_categories = [x for x in drug_categories if str(x) !='nan']\n",
    "drug_categories = np.concatenate(drug_categories)\n",
    "drug_categories = pd.DataFrame(drug_categories)\n",
    "drug_categories[0].value_counts().head(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 634,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#df_uniques.loc[df_uniques.index.str.contains('vir'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 635,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Valaciclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Acyclovir and prodrug|Amino Acids|Amino Acids,...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acyclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Acyclovir and prodrug|Anti-Infective Agents|An...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sulfasalazine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Agents causing hyperkalemia|Agents that produc...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tauroursodeoxycholic acid</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>[experimental|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acetylcysteine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Amino Acids|Amino Acids, Neutral|Amino Acids, ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lamivudine</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Agents Causing Muscle Toxicity|Anti-HIV Agents...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sofosbuvir</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Anti-Infective Agents|Antiinfectives for Syste...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine</th>\n",
       "      <td>[CMPK1, TYMS]</td>\n",
       "      <td>[approved, approved]</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>[['Cardiotoxicity', 'Hepatotoxicity', 'Nephrop...</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trimetrexate</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Hepatotoxicity']]</td>\n",
       "      <td>Acids, Acyclic|Acids, Aldehydic|Anti-Infective...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pyrimethamine</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>[approved|investigational|vet_approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Anti-Infective Agents|Antibiotics for Pneumocy...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Proguanil</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Amidines|Anti-Infective Agents|Antimalarials|A...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gentamicin</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>[approved|vet_approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Nephropathy toxic', 'Nephrotoxicity', 'Neur...</td>\n",
       "      <td>Agents that produce neuromuscular block (indir...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Gene_Symbol  \\\n",
       "Drugs                                      \n",
       "Valaciclovir                      [GUK1]   \n",
       "Acyclovir                         [GUK1]   \n",
       "Sulfasalazine                  [SLC7A11]   \n",
       "Tauroursodeoxycholic acid      [SLC7A11]   \n",
       "Acetylcysteine                 [SLC7A11]   \n",
       "Lamivudine                       [CMPK1]   \n",
       "Sofosbuvir                       [CMPK1]   \n",
       "Gemcitabine                [CMPK1, TYMS]   \n",
       "Trimetrexate                      [DHFR]   \n",
       "Trifluridine                      [TYMS]   \n",
       "Pyrimethamine                     [DHFR]   \n",
       "Proguanil                         [DHFR]   \n",
       "Gentamicin                        [DHFR]   \n",
       "\n",
       "                                                       Drugs_Group  \\\n",
       "Drugs                                                                \n",
       "Valaciclovir                            [approved|investigational]   \n",
       "Acyclovir                                               [approved]   \n",
       "Sulfasalazine                                           [approved]   \n",
       "Tauroursodeoxycholic acid           [experimental|investigational]   \n",
       "Acetylcysteine                          [approved|investigational]   \n",
       "Lamivudine                              [approved|investigational]   \n",
       "Sofosbuvir                                              [approved]   \n",
       "Gemcitabine                                   [approved, approved]   \n",
       "Trimetrexate                            [approved|investigational]   \n",
       "Trifluridine                            [approved|investigational]   \n",
       "Pyrimethamine              [approved|investigational|vet_approved]   \n",
       "Proguanil                                               [approved]   \n",
       "Gentamicin                                 [approved|vet_approved]   \n",
       "\n",
       "                           Phenotype_Safety  Phenotype_Essentiality  \\\n",
       "Drugs                                                                 \n",
       "Valaciclovir                            3.0                    16.0   \n",
       "Acyclovir                               3.0                    16.0   \n",
       "Sulfasalazine                           1.0                     5.0   \n",
       "Tauroursodeoxycholic acid               1.0                     5.0   \n",
       "Acetylcysteine                          1.0                     5.0   \n",
       "Lamivudine                              3.0                     4.0   \n",
       "Sofosbuvir                              3.0                     4.0   \n",
       "Gemcitabine                             2.0                     2.5   \n",
       "Trimetrexate                            1.0                     1.0   \n",
       "Trifluridine                            1.0                     1.0   \n",
       "Pyrimethamine                           1.0                     1.0   \n",
       "Proguanil                               1.0                     1.0   \n",
       "Gentamicin                              1.0                     1.0   \n",
       "\n",
       "                                                            side_effect_name  \\\n",
       "Drugs                                                                          \n",
       "Valaciclovir                                                           [nan]   \n",
       "Acyclovir                                                              [nan]   \n",
       "Sulfasalazine                                                          [nan]   \n",
       "Tauroursodeoxycholic acid                                              [nan]   \n",
       "Acetylcysteine                                                         [nan]   \n",
       "Lamivudine                                                             [nan]   \n",
       "Sofosbuvir                                                             [nan]   \n",
       "Gemcitabine                [['Cardiotoxicity', 'Hepatotoxicity', 'Nephrop...   \n",
       "Trimetrexate                                            [['Hepatotoxicity']]   \n",
       "Trifluridine                                                           [nan]   \n",
       "Pyrimethamine                                                          [nan]   \n",
       "Proguanil                                                              [nan]   \n",
       "Gentamicin                 [['Nephropathy toxic', 'Nephrotoxicity', 'Neur...   \n",
       "\n",
       "                                                            Drugs_Categories  \\\n",
       "Drugs                                                                          \n",
       "Valaciclovir               Acyclovir and prodrug|Amino Acids|Amino Acids,...   \n",
       "Acyclovir                  Acyclovir and prodrug|Anti-Infective Agents|An...   \n",
       "Sulfasalazine              Agents causing hyperkalemia|Agents that produc...   \n",
       "Tauroursodeoxycholic acid  Acids|Acids, Noncarboxylic|Alkanes|Alkanesulfo...   \n",
       "Acetylcysteine             Amino Acids|Amino Acids, Neutral|Amino Acids, ...   \n",
       "Lamivudine                 Agents Causing Muscle Toxicity|Anti-HIV Agents...   \n",
       "Sofosbuvir                 Anti-Infective Agents|Antiinfectives for Syste...   \n",
       "Gemcitabine                Anti-Infective Agents|Antimetabolites|Antineop...   \n",
       "Trimetrexate               Acids, Acyclic|Acids, Aldehydic|Anti-Infective...   \n",
       "Trifluridine               Anti-Infective Agents|Antimetabolites|Antineop...   \n",
       "Pyrimethamine              Anti-Infective Agents|Antibiotics for Pneumocy...   \n",
       "Proguanil                  Amidines|Anti-Infective Agents|Antimalarials|A...   \n",
       "Gentamicin                 Agents that produce neuromuscular block (indir...   \n",
       "\n",
       "                           Number_Genes  \n",
       "Drugs                                    \n",
       "Valaciclovir                          1  \n",
       "Acyclovir                             1  \n",
       "Sulfasalazine                         1  \n",
       "Tauroursodeoxycholic acid             1  \n",
       "Acetylcysteine                        1  \n",
       "Lamivudine                            1  \n",
       "Sofosbuvir                            1  \n",
       "Gemcitabine                           2  \n",
       "Trimetrexate                          1  \n",
       "Trifluridine                          1  \n",
       "Pyrimethamine                         1  \n",
       "Proguanil                             1  \n",
       "Gentamicin                            1  "
      ]
     },
     "execution_count": 635,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('anti-infective'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 636,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Valaciclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Acyclovir and prodrug|Amino Acids|Amino Acids,...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acyclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Acyclovir and prodrug|Anti-Infective Agents|An...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lamivudine</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Agents Causing Muscle Toxicity|Anti-HIV Agents...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sofosbuvir</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Anti-Infective Agents|Antiinfectives for Syste...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine</th>\n",
       "      <td>[CMPK1, TYMS]</td>\n",
       "      <td>[approved, approved]</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>[['Cardiotoxicity', 'Hepatotoxicity', 'Nephrop...</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thymectacin</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Carbohydrates|Deoxyribonucleosides|Deoxyuridin...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fluorouracil</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Cardiotoxicity', 'Ocular toxicity']]</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Floxuridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Skin toxicity']]</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capecitabine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Gastrointestinal toxicity', 'Hepatotoxicity...</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Gene_Symbol                 Drugs_Group  Phenotype_Safety  \\\n",
       "Drugs                                                                       \n",
       "Valaciclovir         [GUK1]  [approved|investigational]               3.0   \n",
       "Acyclovir            [GUK1]                  [approved]               3.0   \n",
       "Lamivudine          [CMPK1]  [approved|investigational]               3.0   \n",
       "Sofosbuvir          [CMPK1]                  [approved]               3.0   \n",
       "Gemcitabine   [CMPK1, TYMS]        [approved, approved]               2.0   \n",
       "Thymectacin          [TYMS]           [investigational]               1.0   \n",
       "Trifluridine         [TYMS]  [approved|investigational]               1.0   \n",
       "Fluorouracil         [TYMS]                  [approved]               1.0   \n",
       "Floxuridine          [TYMS]                  [approved]               1.0   \n",
       "Capecitabine         [TYMS]  [approved|investigational]               1.0   \n",
       "\n",
       "              Phenotype_Essentiality  \\\n",
       "Drugs                                  \n",
       "Valaciclovir                    16.0   \n",
       "Acyclovir                       16.0   \n",
       "Lamivudine                       4.0   \n",
       "Sofosbuvir                       4.0   \n",
       "Gemcitabine                      2.5   \n",
       "Thymectacin                      1.0   \n",
       "Trifluridine                     1.0   \n",
       "Fluorouracil                     1.0   \n",
       "Floxuridine                      1.0   \n",
       "Capecitabine                     1.0   \n",
       "\n",
       "                                               side_effect_name  \\\n",
       "Drugs                                                             \n",
       "Valaciclovir                                              [nan]   \n",
       "Acyclovir                                                 [nan]   \n",
       "Lamivudine                                                [nan]   \n",
       "Sofosbuvir                                                [nan]   \n",
       "Gemcitabine   [['Cardiotoxicity', 'Hepatotoxicity', 'Nephrop...   \n",
       "Thymectacin                                               [nan]   \n",
       "Trifluridine                                              [nan]   \n",
       "Fluorouracil            [['Cardiotoxicity', 'Ocular toxicity']]   \n",
       "Floxuridine                                 [['Skin toxicity']]   \n",
       "Capecitabine  [['Gastrointestinal toxicity', 'Hepatotoxicity...   \n",
       "\n",
       "                                               Drugs_Categories  Number_Genes  \n",
       "Drugs                                                                          \n",
       "Valaciclovir  Acyclovir and prodrug|Amino Acids|Amino Acids,...             1  \n",
       "Acyclovir     Acyclovir and prodrug|Anti-Infective Agents|An...             1  \n",
       "Lamivudine    Agents Causing Muscle Toxicity|Anti-HIV Agents...             1  \n",
       "Sofosbuvir    Anti-Infective Agents|Antiinfectives for Syste...             1  \n",
       "Gemcitabine   Anti-Infective Agents|Antimetabolites|Antineop...             2  \n",
       "Thymectacin   Carbohydrates|Deoxyribonucleosides|Deoxyuridin...             1  \n",
       "Trifluridine  Anti-Infective Agents|Antimetabolites|Antineop...             1  \n",
       "Fluorouracil  Antimetabolites|Antineoplastic Agents|Antineop...             1  \n",
       "Floxuridine   Antimetabolites|Antineoplastic Agents|Antineop...             1  \n",
       "Capecitabine  Antimetabolites|Antineoplastic Agents|Antineop...             1  "
      ]
     },
     "execution_count": 636,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.contains('Nucleoside'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 637,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('anticonvulsant'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 638,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
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       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sulfasalazine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Agents causing hyperkalemia|Agents that produc...</td>\n",
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       "      <th>Gabapentin</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Acids, Acyclic|Acids, Carbocyclic|Amines|Amino...</td>\n",
       "      <td>1</td>\n",
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       "      <th>Pregabalin</th>\n",
       "      <td>[SLC7A5]</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>[['Digitalis intoxication (NOS)']]</td>\n",
       "      <td>Acids, Acyclic|Agents causing angioedema|Amino...</td>\n",
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      ],
      "text/plain": [
       "              Gene_Symbol                 Drugs_Group  Phenotype_Safety  \\\n",
       "Drugs                                                                     \n",
       "Sulfasalazine   [SLC7A11]                  [approved]               1.0   \n",
       "Gabapentin       [SLC7A5]  [approved|investigational]               1.0   \n",
       "Pregabalin       [SLC7A5]  [approved|investigational]               1.0   \n",
       "\n",
       "               Phenotype_Essentiality                    side_effect_name  \\\n",
       "Drugs                                                                       \n",
       "Sulfasalazine                     5.0                               [nan]   \n",
       "Gabapentin                        3.0                               [nan]   \n",
       "Pregabalin                        3.0  [['Digitalis intoxication (NOS)']]   \n",
       "\n",
       "                                                Drugs_Categories  Number_Genes  \n",
       "Drugs                                                                           \n",
       "Sulfasalazine  Agents causing hyperkalemia|Agents that produc...             1  \n",
       "Gabapentin     Acids, Acyclic|Acids, Carbocyclic|Amines|Amino...             1  \n",
       "Pregabalin     Acids, Acyclic|Agents causing angioedema|Amino...             1  "
      ]
     },
     "execution_count": 638,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('analgesics'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 639,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('steroid'),'Drugs_Categories'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 640,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Valaciclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acyclovir</th>\n",
       "      <td>[GUK1]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lamivudine</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sofosbuvir</th>\n",
       "      <td>[CMPK1]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Gene_Symbol  Number_Genes\n",
       "Drugs                                 \n",
       "Valaciclovir      [GUK1]             1\n",
       "Acyclovir         [GUK1]             1\n",
       "Lamivudine       [CMPK1]             1\n",
       "Sofosbuvir       [CMPK1]             1\n",
       "Trifluridine      [TYMS]             1"
      ]
     },
     "execution_count": 640,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('antiviral'),['Gene_Symbol','Number_Genes']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 641,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45, 7)"
      ]
     },
     "execution_count": 641,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 642,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sulfasalazine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Agents causing hyperkalemia|Agents that produc...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Melphalan</th>\n",
       "      <td>[SLC7A5]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>[['Pulmonary toxicity']]</td>\n",
       "      <td>Alkylating Activity|Alkylating Drugs|Amino Aci...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine</th>\n",
       "      <td>[CMPK1, TYMS]</td>\n",
       "      <td>[approved, approved]</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>[['Cardiotoxicity', 'Hepatotoxicity', 'Nephrop...</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Anti-Infective Agents|Antimetabolites|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raltitrexed</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pralatrexate</th>\n",
       "      <td>[DHFR, TYMS]</td>\n",
       "      <td>[approved|investigational, approved|investigat...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan, nan]</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pemetrexed</th>\n",
       "      <td>[DHFR, TYMS]</td>\n",
       "      <td>[approved|investigational, approved|investigat...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan, nan]</td>\n",
       "      <td>Amino Acids|Amino Acids, Acidic|Amino Acids, D...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate</th>\n",
       "      <td>[DHFR, TYMS]</td>\n",
       "      <td>[approved, approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['CNS toxicity', 'Gastrointestinal toxicity',...</td>\n",
       "      <td>Abortifacient Agents|Abortifacient Agents, Non...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fluorouracil</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Cardiotoxicity', 'Ocular toxicity']]</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Floxuridine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Skin toxicity']]</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capecitabine</th>\n",
       "      <td>[TYMS]</td>\n",
       "      <td>[approved|investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Gastrointestinal toxicity', 'Hepatotoxicity...</td>\n",
       "      <td>Antimetabolites|Antineoplastic Agents|Antineop...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Gene_Symbol  \\\n",
       "Drugs                          \n",
       "Sulfasalazine      [SLC7A11]   \n",
       "Melphalan           [SLC7A5]   \n",
       "Gemcitabine    [CMPK1, TYMS]   \n",
       "Trifluridine          [TYMS]   \n",
       "Raltitrexed           [TYMS]   \n",
       "Pralatrexate    [DHFR, TYMS]   \n",
       "Pemetrexed      [DHFR, TYMS]   \n",
       "Methotrexate    [DHFR, TYMS]   \n",
       "Fluorouracil          [TYMS]   \n",
       "Floxuridine           [TYMS]   \n",
       "Capecitabine          [TYMS]   \n",
       "\n",
       "                                                     Drugs_Group  \\\n",
       "Drugs                                                              \n",
       "Sulfasalazine                                         [approved]   \n",
       "Melphalan                                             [approved]   \n",
       "Gemcitabine                                 [approved, approved]   \n",
       "Trifluridine                          [approved|investigational]   \n",
       "Raltitrexed                           [approved|investigational]   \n",
       "Pralatrexate   [approved|investigational, approved|investigat...   \n",
       "Pemetrexed     [approved|investigational, approved|investigat...   \n",
       "Methotrexate                                [approved, approved]   \n",
       "Fluorouracil                                          [approved]   \n",
       "Floxuridine                                           [approved]   \n",
       "Capecitabine                          [approved|investigational]   \n",
       "\n",
       "               Phenotype_Safety  Phenotype_Essentiality  \\\n",
       "Drugs                                                     \n",
       "Sulfasalazine               1.0                     5.0   \n",
       "Melphalan                   1.0                     3.0   \n",
       "Gemcitabine                 2.0                     2.5   \n",
       "Trifluridine                1.0                     1.0   \n",
       "Raltitrexed                 1.0                     1.0   \n",
       "Pralatrexate                1.0                     1.0   \n",
       "Pemetrexed                  1.0                     1.0   \n",
       "Methotrexate                1.0                     1.0   \n",
       "Fluorouracil                1.0                     1.0   \n",
       "Floxuridine                 1.0                     1.0   \n",
       "Capecitabine                1.0                     1.0   \n",
       "\n",
       "                                                side_effect_name  \\\n",
       "Drugs                                                              \n",
       "Sulfasalazine                                              [nan]   \n",
       "Melphalan                               [['Pulmonary toxicity']]   \n",
       "Gemcitabine    [['Cardiotoxicity', 'Hepatotoxicity', 'Nephrop...   \n",
       "Trifluridine                                               [nan]   \n",
       "Raltitrexed                                                [nan]   \n",
       "Pralatrexate                                          [nan, nan]   \n",
       "Pemetrexed                                            [nan, nan]   \n",
       "Methotrexate   [['CNS toxicity', 'Gastrointestinal toxicity',...   \n",
       "Fluorouracil             [['Cardiotoxicity', 'Ocular toxicity']]   \n",
       "Floxuridine                                  [['Skin toxicity']]   \n",
       "Capecitabine   [['Gastrointestinal toxicity', 'Hepatotoxicity...   \n",
       "\n",
       "                                                Drugs_Categories  Number_Genes  \n",
       "Drugs                                                                           \n",
       "Sulfasalazine  Agents causing hyperkalemia|Agents that produc...             1  \n",
       "Melphalan      Alkylating Activity|Alkylating Drugs|Amino Aci...             1  \n",
       "Gemcitabine    Anti-Infective Agents|Antimetabolites|Antineop...             2  \n",
       "Trifluridine   Anti-Infective Agents|Antimetabolites|Antineop...             1  \n",
       "Raltitrexed    Antimetabolites|Antineoplastic Agents|Antineop...             1  \n",
       "Pralatrexate   Antimetabolites|Antineoplastic Agents|Antineop...             2  \n",
       "Pemetrexed     Amino Acids|Amino Acids, Acidic|Amino Acids, D...             2  \n",
       "Methotrexate   Abortifacient Agents|Abortifacient Agents, Non...             2  \n",
       "Fluorouracil   Antimetabolites|Antineoplastic Agents|Antineop...             1  \n",
       "Floxuridine    Antimetabolites|Antineoplastic Agents|Antineop...             1  \n",
       "Capecitabine   Antimetabolites|Antineoplastic Agents|Antineop...             1  "
      ]
     },
     "execution_count": 642,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drugs_immune =df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.contains('Immunosuppressive Agents'),:].index\n",
    "df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.contains('Immunosuppressive Agents'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 643,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('antifungal agents'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 644,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('hyperkalemia'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 645,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Drugs_Categories</th>\n",
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       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alanosine</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>[investigational]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Amino Acids|Amino Acids, Peptides, and Protein...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pyrimethamine</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>[approved|investigational|vet_approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Anti-Infective Agents|Antibiotics for Pneumocy...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gentamicin</th>\n",
       "      <td>[DHFR]</td>\n",
       "      <td>[approved|vet_approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[['Nephropathy toxic', 'Nephrotoxicity', 'Neur...</td>\n",
       "      <td>Agents that produce neuromuscular block (indir...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Gene_Symbol                              Drugs_Group  \\\n",
       "Drugs                                                                \n",
       "Alanosine       [SLC7A11]                        [investigational]   \n",
       "Pyrimethamine      [DHFR]  [approved|investigational|vet_approved]   \n",
       "Gentamicin         [DHFR]                  [approved|vet_approved]   \n",
       "\n",
       "               Phenotype_Safety  Phenotype_Essentiality  \\\n",
       "Drugs                                                     \n",
       "Alanosine                   1.0                     5.0   \n",
       "Pyrimethamine               1.0                     1.0   \n",
       "Gentamicin                  1.0                     1.0   \n",
       "\n",
       "                                                side_effect_name  \\\n",
       "Drugs                                                              \n",
       "Alanosine                                                  [nan]   \n",
       "Pyrimethamine                                              [nan]   \n",
       "Gentamicin     [['Nephropathy toxic', 'Nephrotoxicity', 'Neur...   \n",
       "\n",
       "                                                Drugs_Categories  Number_Genes  \n",
       "Drugs                                                                           \n",
       "Alanosine      Amino Acids|Amino Acids, Peptides, and Protein...             1  \n",
       "Pyrimethamine  Anti-Infective Agents|Antibiotics for Pneumocy...             1  \n",
       "Gentamicin     Agents that produce neuromuscular block (indir...             1  "
      ]
     },
     "execution_count": 645,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('antibiotic'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 646,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Gene_Symbol, Drugs_Group, Phenotype_Safety, Phenotype_Essentiality, side_effect_name, Drugs_Categories, Number_Genes]\n",
       "Index: []"
      ]
     },
     "execution_count": 646,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.lower().str.contains('cholestrol'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 647,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#drugs_antirh =df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.contains('Antirheumatic Agents'),:].index\n",
    "#df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.contains('Antirheumatic Agents'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 648,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_uniques.loc[df_uniques.Drugs_Categories.astype('str').str.contains('lipid'),'Drugs_Categories'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 649,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Agents Causing Muscle Toxicity|Alimentary Tract and Metabolism|Amides|Anticholesteremic Agents|BCRP/ABCG2 Substrates|Benzene Derivatives|BSEP/ABCB11 Substrates|Cytochrome P-450 CYP2C9 Substrates|Cytochrome P-450 CYP3A Inhibitors|Cytochrome P-450 CYP3A Substrates|Cytochrome P-450 CYP3A4 Substrates|Cytochrome P-450 CYP3A4 Substrates (strength unknown)|Cytochrome P-450 CYP3A5 Inhibitors|Cytochrome P-450 CYP3A5 Substrates|Cytochrome P-450 Enzyme Inhibitors|Cytochrome P-450 Substrates|Drugs Used in Diabetes|Enzyme Inhibitors|Fluorobenzenes|Genito Urinary System and Sex Hormones|Gynecological Antiinfectives and Antiseptics|Hydrocarbons, Fluorinated|Hydrocarbons, Halogenated|Hydroxymethylglutaryl-CoA Reductase Inhibitors|Hypolipidemic Agents|Lipid Modifying Agents|Lipid Modifying Agents, Plain|Lipid Regulating Agents|Noxae|OAT3/SLC22A8 Inhibitors|OAT3/SLC22A8 Substrates|OATP1B1/SLCO1B1 Inhibitors|OATP1B1/SLCO1B1 Substrates|Pyrimidines|Sulfonamides|Sulfones|Sulfur Compounds|Toxic Actions'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 649,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.index.str.contains('statin'),'Drugs_Categories'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 650,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Gene_Symbol, Drugs_Group, Phenotype_Safety, Phenotype_Essentiality, side_effect_name, Drugs_Categories, Number_Genes]\n",
       "Index: []"
      ]
     },
     "execution_count": 650,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.index.str.contains('sartan'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 651,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rosuvastatin</th>\n",
       "      <td>[SLC7A11]</td>\n",
       "      <td>[approved]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>Agents Causing Muscle Toxicity|Alimentary Trac...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Gene_Symbol Drugs_Group  Phenotype_Safety  \\\n",
       "Drugs                                                    \n",
       "Rosuvastatin   [SLC7A11]  [approved]               1.0   \n",
       "\n",
       "              Phenotype_Essentiality side_effect_name  \\\n",
       "Drugs                                                   \n",
       "Rosuvastatin                     5.0            [nan]   \n",
       "\n",
       "                                               Drugs_Categories  Number_Genes  \n",
       "Drugs                                                                          \n",
       "Rosuvastatin  Agents Causing Muscle Toxicity|Alimentary Trac...             1  "
      ]
     },
     "execution_count": 651,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.index.str.contains('statin'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 652,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th>Drugs_Group</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Drugs_Categories</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Gene_Symbol, Drugs_Group, Phenotype_Safety, Phenotype_Essentiality, side_effect_name, Drugs_Categories, Number_Genes]\n",
       "Index: []"
      ]
     },
     "execution_count": 652,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.loc[df_uniques.index.str.endswith('pril'),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 653,
   "metadata": {},
   "outputs": [],
   "source": [
    "#[x for x in drugs_immune  if x not in drugs_antirh]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 654,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Find the coverage of 2 drug categories on differnt lung phenotypes\n",
    "# Build an enrichmet table similar to \n",
    "db = df_uniques \n",
    "enrich = pd.DataFrame(columns = ['Term','Drugs','Genes','P-value','Overlap'],dtype='object')\n",
    "terms =['Immunosuppressive','Antiviral','Antirheumatic','Hypolipidemic']#,'Anticonvulsant','Analgesic']#,'Antifungal']\n",
    "enrich['Term'] = terms\n",
    "enrich['P-value'] = 0\n",
    "\n",
    "for i in range(len(terms)):\n",
    "    x = db.Drugs_Categories.astype('str').str.lower().str.contains(terms[i].lower())\n",
    "    #y = db.index.astype('str').str.lower().str.contains(terms[i].lower())\n",
    "    #x = np.logical_or([x,y])\n",
    "    genes = np.unique(np.concatenate(db.loc[x,'Gene_Symbol'])).tolist()\n",
    "    enrich.loc[i,'Genes'] = ';'.join(genes)\n",
    "    drugs = np.unique(db.loc[x,:].index).tolist()\n",
    "    enrich.loc[i,'Drugs'] = ';'.join(drugs)\n",
    "    # Total number of genes that has this term in drugbank\n",
    "    x = drugbank_df.categories.astype('str').str.lower().str.contains(terms[i].lower())\n",
    "    total_genes = np.unique(drugbank_df.loc[x,'entrez_gene_id']).tolist()\n",
    "    enrich.loc[i,'Overlap'] = str(len(genes))+'/'+str(len(total_genes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 655,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Capecitabine;Floxuridine;Fluorouracil;Gemcitab...\n",
       "1    Acyclovir;Lamivudine;Sofosbuvir;Trifluridine;V...\n",
       "2                           Methotrexate;Sulfasalazine\n",
       "3                                         Rosuvastatin\n",
       "Name: Drugs, dtype: object"
      ]
     },
     "execution_count": 655,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enrich.Drugs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 656,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Term</th>\n",
       "      <th>Drugs</th>\n",
       "      <th>Genes</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Overlap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Immunosuppressive</td>\n",
       "      <td>Capecitabine;Floxuridine;Fluorouracil;Gemcitab...</td>\n",
       "      <td>CMPK1;DHFR;SLC7A11;SLC7A5;TYMS</td>\n",
       "      <td>0</td>\n",
       "      <td>5/465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Antiviral</td>\n",
       "      <td>Acyclovir;Lamivudine;Sofosbuvir;Trifluridine;V...</td>\n",
       "      <td>CMPK1;GUK1;TYMS</td>\n",
       "      <td>0</td>\n",
       "      <td>3/135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Antirheumatic</td>\n",
       "      <td>Methotrexate;Sulfasalazine</td>\n",
       "      <td>DHFR;SLC7A11;TYMS</td>\n",
       "      <td>0</td>\n",
       "      <td>3/288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hypolipidemic</td>\n",
       "      <td>Rosuvastatin</td>\n",
       "      <td>SLC7A11</td>\n",
       "      <td>0</td>\n",
       "      <td>1/144</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Term                                              Drugs  \\\n",
       "0  Immunosuppressive  Capecitabine;Floxuridine;Fluorouracil;Gemcitab...   \n",
       "1          Antiviral  Acyclovir;Lamivudine;Sofosbuvir;Trifluridine;V...   \n",
       "2      Antirheumatic                         Methotrexate;Sulfasalazine   \n",
       "3      Hypolipidemic                                       Rosuvastatin   \n",
       "\n",
       "                            Genes  P-value Overlap  \n",
       "0  CMPK1;DHFR;SLC7A11;SLC7A5;TYMS        0   5/465  \n",
       "1                 CMPK1;GUK1;TYMS        0   3/135  \n",
       "2               DHFR;SLC7A11;TYMS        0   3/288  \n",
       "3                         SLC7A11        0   1/144  "
      ]
     },
     "execution_count": 656,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enrich"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 657,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sko_summ = pd.read_csv('KO_data/SKO_Mapped_Unique.csv',index_col = 0)\n",
    "#sko_summ.SKO_01_Toxic_Sym = sko_summ.SKO_01_Toxic_Sym.apply(lambda x:str(x).replace(' ','; ').replace(\"'\",'').replace('[','').replace(']',''))\n",
    "#sko_summ.SKO_01_Safe_Sym = sko_summ.SKO_01_Safe_Sym.apply(lambda x:str(x).replace(' ','; ').replace(\"'\",'').replace('[','').replace(']',''))\n",
    "#sko_summ['SKO_All'] = sko_summ.SKO_01_Toxic_Sym +'; '+ sko_summ.SKO_01_Safe_Sym\n",
    "#sko_summ"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "enrich_coverage_all = Calculate_Enrichment_Coverage(enrich.iloc[:,[0,2,3,4]],sko_summ.iloc[:,:],'SKO_All')\n",
    "plt.figure(figsize = (10,10))\n",
    "ax = sns.heatmap(enrich_coverage_all.iloc[:,4:], annot=True, linewidths=0.5)\n",
    "bottom, top = ax.get_ylim()\n",
    "ax.set_ylim(bottom + 0.5, top - 0.5)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=45)\n",
    "ax.set_yticklabels(ax.get_yticklabels(), rotation=0)\n",
    "plt.savefig('Drug_Repurposing_Results_/SKO_Lung_Drugs_Classes_Enrichment.png', dpi=400,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "enrich.loc[i,'Genes'] = ';'.join(genes)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "enrich['#_Drugs'] = enrich['Drugs'].apply(lambda x: len(x.split(';')))\n",
    "enrich.to_csv('Drug_Repurposing_Results_/SKO_Drugs_Classes.csv')\n",
    "enrich"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 658,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49, 16)"
      ]
     },
     "execution_count": 658,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 660,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45"
      ]
     },
     "execution_count": 660,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.Drugs.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 664,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Methotrexate    2\n",
       "Pemetrexed      2\n",
       "Gemcitabine     2\n",
       "Pralatrexate    2\n",
       "Gabapentin      1\n",
       "Name: Drugs, dtype: int64"
      ]
     },
     "execution_count": 664,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Drugs.value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 659,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Drugs</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene_Symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GUK1</th>\n",
       "      <td>[Valaciclovir, Acyclovir]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISYNA1</th>\n",
       "      <td>[Glycerin]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A11</th>\n",
       "      <td>[Riluzole, Taurocholic acid, Alanosine, Thimer...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPK1</th>\n",
       "      <td>[Lamivudine, Gemcitabine, Sofosbuvir]</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC7A5</th>\n",
       "      <td>[Dextrothyroxine, Pregabalin, Levothyroxine, L...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLTP</th>\n",
       "      <td>[Oleic Acid, Lactose, Lauric acid]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHFR</th>\n",
       "      <td>[Methotrexate, Pyrimethamine, Pemetrexed, Lamo...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TYMS</th>\n",
       "      <td>[ANX-510, Fluorouracil, Capecitabine, Methotre...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                         Drugs  \\\n",
       "Gene_Symbol                                                      \n",
       "GUK1                                 [Valaciclovir, Acyclovir]   \n",
       "ISYNA1                                              [Glycerin]   \n",
       "SLC7A11      [Riluzole, Taurocholic acid, Alanosine, Thimer...   \n",
       "CMPK1                    [Lamivudine, Gemcitabine, Sofosbuvir]   \n",
       "SLC7A5       [Dextrothyroxine, Pregabalin, Levothyroxine, L...   \n",
       "GLTP                        [Oleic Acid, Lactose, Lauric acid]   \n",
       "DHFR         [Methotrexate, Pyrimethamine, Pemetrexed, Lamo...   \n",
       "TYMS         [ANX-510, Fluorouracil, Capecitabine, Methotre...   \n",
       "\n",
       "             Phenotype_Safety  Phenotype_Essentiality  \n",
       "Gene_Symbol                                            \n",
       "GUK1                      3.0                    16.0  \n",
       "ISYNA1                    1.0                     9.0  \n",
       "SLC7A11                   1.0                     5.0  \n",
       "CMPK1                     3.0                     4.0  \n",
       "SLC7A5                    1.0                     3.0  \n",
       "GLTP                      1.0                     2.0  \n",
       "DHFR                      1.0                     1.0  \n",
       "TYMS                      1.0                     1.0  "
      ]
     },
     "execution_count": 659,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Since none of the SKO drugs shares more than 1 gene per drug\n",
    "df_uniques = df.groupby('Gene_Symbol').agg({'Drugs': lambda x: list(x),'Drugs': lambda x: list(x),\n",
    "                                      #'Gene_Symbol': lambda x: list(x),'Gene_Symbol': lambda x: list(x),\n",
    "                                      #'Gene_Symbol': lambda x: list(x),'Gene_Symbol': lambda x: list(x),\n",
    "                                      #'Drugs_Group': lambda x: list(x),'Drugs_Group': lambda x: list(x),\n",
    "                                      'Phenotype_Safety': lambda x: list(x),'Phenotype_Safety': lambda x: np.mean(x),\n",
    "                                      'Phenotype_Essentiality': lambda x: list(x),'Phenotype_Essentiality': lambda x: np.mean(x),\n",
    "                                      #'GTEx_Safety': lambda x: list(x),'GTEx_Safety': lambda x: np.mean(x),\n",
    "                                      #'GTEx_Safety_Class': lambda x: list(x),'GTEx_Safety_Class': lambda x: list(x),\n",
    "                                      #'side_effect_name': lambda x: list(x),'side_effect_name': lambda x: list(x),\n",
    "                                      #'Drugs_Categories': lambda x: list(x),'Drugs_Categories': lambda x: list(x)[0]\n",
    "                                     })\n",
    "#df_uniques['Number_Genes'] = df_uniques['Gene_Symbol'].apply(lambda x: len(x))\n",
    "#df_uniques['side_effect_name'] = df_uniques['side_effect_name'].apply(lambda x: np.unique(np.squeeze(x)).tolist())\n",
    "\n",
    "df_uniques= df_uniques.sort_values(by=['Phenotype_Essentiality'],ascending=False)\n",
    "df_uniques.to_csv('KO_data/SKO_db_Drugs_Unique_per_gene.csv')\n",
    "df_uniques"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drug Repurposing in DKO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drugbank_id</th>\n",
       "      <th>category</th>\n",
       "      <th>uniprot_id</th>\n",
       "      <th>entrez_gene_id</th>\n",
       "      <th>organism</th>\n",
       "      <th>known_action</th>\n",
       "      <th>actions</th>\n",
       "      <th>pubmed_ids</th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "      <th>groups</th>\n",
       "      <th>atc_codes</th>\n",
       "      <th>categories</th>\n",
       "      <th>description</th>\n",
       "      <th>hgnc_symbol</th>\n",
       "      <th>umls_cui_from_meddra</th>\n",
       "      <th>side_effect_name</th>\n",
       "      <th>Meddra_Indication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DB00001</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>yes</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lepirudin</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved</td>\n",
       "      <td>B01AE02</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anticoagul...</td>\n",
       "      <td>Lepirudin is identical to natural hirudin exce...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DB00006</td>\n",
       "      <td>target</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>yes</td>\n",
       "      <td>inhibitor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bivalirudin</td>\n",
       "      <td>small molecule</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>B01AE06</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Anticoagul...</td>\n",
       "      <td>Bivalirudin is a synthetic 20 residue peptide ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DB00025</td>\n",
       "      <td>enzyme</td>\n",
       "      <td>P00734</td>\n",
       "      <td>2147</td>\n",
       "      <td>Humans</td>\n",
       "      <td>unknown</td>\n",
       "      <td>activator</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antihemophilic factor, human recombinant</td>\n",
       "      <td>biotech</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>B02BD02</td>\n",
       "      <td>Amino Acids, Peptides, and Proteins|Biological...</td>\n",
       "      <td>Human recombinant antihemophilic factor (AHF) ...</td>\n",
       "      <td>RET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  drugbank_id category uniprot_id  entrez_gene_id organism known_action  \\\n",
       "0     DB00001   target     P00734            2147   Humans          yes   \n",
       "1     DB00006   target     P00734            2147   Humans          yes   \n",
       "2     DB00025   enzyme     P00734            2147   Humans      unknown   \n",
       "\n",
       "     actions  pubmed_ids                                      name  \\\n",
       "0  inhibitor         NaN                                 Lepirudin   \n",
       "1  inhibitor         NaN                               Bivalirudin   \n",
       "2  activator         NaN  Antihemophilic factor, human recombinant   \n",
       "\n",
       "             type                    groups atc_codes  \\\n",
       "0         biotech                  approved   B01AE02   \n",
       "1  small molecule  approved|investigational   B01AE06   \n",
       "2         biotech  approved|investigational   B02BD02   \n",
       "\n",
       "                                          categories  \\\n",
       "0  Amino Acids, Peptides, and Proteins|Anticoagul...   \n",
       "1  Amino Acids, Peptides, and Proteins|Anticoagul...   \n",
       "2  Amino Acids, Peptides, and Proteins|Biological...   \n",
       "\n",
       "                                         description hgnc_symbol  \\\n",
       "0  Lepirudin is identical to natural hirudin exce...         RET   \n",
       "1  Bivalirudin is a synthetic 20 residue peptide ...         RET   \n",
       "2  Human recombinant antihemophilic factor (AHF) ...         RET   \n",
       "\n",
       "  umls_cui_from_meddra side_effect_name Meddra_Indication  \n",
       "0                  NaN              NaN               NaN  \n",
       "1                  NaN              NaN               NaN  \n",
       "2                  NaN              NaN               NaN  "
      ]
     },
     "execution_count": 423,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drug Repurposing\n",
    "drugbank_df  =pd.read_csv('./DrugBank_Drug_Target_Toxicity_Only_Indication.csv',sep=',',index_col=0)\n",
    "#drugbank_df = drugbank_df[~drugbank_df.groups.str.contains('withdrawn')]\n",
    "#drugbank_df = drugbank_df.loc[drugbank_df.groups != 'experimental',:]\n",
    "#drugbank_df = drugbank_df.drop(columns = ['drugbank_id.1'])\n",
    "\n",
    "# Replace drug name for large name by drug id\n",
    "drugbank_df.loc[drugbank_df.name.apply(lambda x:len(x))>40,'name'] =drugbank_df.loc[drugbank_df.name.apply(lambda x:len(x))>40,'drugbank_id']\n",
    "drugbank_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 424,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Since the same drug different approval groups on different entries, we will unify them by concatenating\n",
    "drugbank_drugs = np.unique(drugbank_df.name)\n",
    "for drug in drugbank_drugs:\n",
    "    drugbank_df.loc[drugbank_df.name ==drug,'groups'] = '|'.join(np.unique(drugbank_df.loc[drugbank_df.name ==drug,'groups']).tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 425,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drugbank_df.loc[drugbank_df.name =='Fosinopril',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 426,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drugbank_df.loc[drugbank_df.name =='Cloxacillin',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 427,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drugbank_df.loc[drugbank_df.name =='Gemcitabine',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 428,
   "metadata": {},
   "outputs": [],
   "source": [
    "gtex_db  = pd.read_csv('KO_data/DKO_Lung_Studies_Summary.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 429,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(598, 8)"
      ]
     },
     "execution_count": 429,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gtex_db.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene1</th>\n",
       "      <th>Gene2</th>\n",
       "      <th>Series</th>\n",
       "      <th>RECON</th>\n",
       "      <th>Experiment_Freq</th>\n",
       "      <th>Safety_Ratio</th>\n",
       "      <th>Gene1_Symbol</th>\n",
       "      <th>Gene2_Symbol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>54675</td>\n",
       "      <td>11212</td>\n",
       "      <td>['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...</td>\n",
       "      <td>['2', '3', '2', '3', '2', '3', '2', '3', '2', ...</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>CRLS1</td>\n",
       "      <td>PLPBP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>259230</td>\n",
       "      <td>11212</td>\n",
       "      <td>['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...</td>\n",
       "      <td>['2', '3', '2', '2', '3', '2', '3', '2', '3', ...</td>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "      <td>SGMS1</td>\n",
       "      <td>PLPBP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6241</td>\n",
       "      <td>50484</td>\n",
       "      <td>['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...</td>\n",
       "      <td>['2', '2', '2', '2', '2', '2', '2', '2', '2', ...</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>RRM2</td>\n",
       "      <td>RRM2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6240</td>\n",
       "      <td>50484</td>\n",
       "      <td>['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...</td>\n",
       "      <td>['2', '2', '2', '2', '2', '2', '2', '2', '2', ...</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>RRM1</td>\n",
       "      <td>RRM2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6565</td>\n",
       "      <td>6564</td>\n",
       "      <td>['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...</td>\n",
       "      <td>['3', '3', '3', '3', '3', '3', '3', '3', '3', ...</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>SLC15A2</td>\n",
       "      <td>SLC15A1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Gene1  Gene2                                             Series  \\\n",
       "0   54675  11212  ['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...   \n",
       "1  259230  11212  ['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...   \n",
       "2    6241  50484  ['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...   \n",
       "3    6240  50484  ['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...   \n",
       "4    6565   6564  ['CALU3_12H', 'CALU3_24H', 'CALU3_4H', 'CALU3_...   \n",
       "\n",
       "                                               RECON  Experiment_Freq  \\\n",
       "0  ['2', '3', '2', '3', '2', '3', '2', '3', '2', ...               26   \n",
       "1  ['2', '3', '2', '2', '3', '2', '3', '2', '3', ...               24   \n",
       "2  ['2', '2', '2', '2', '2', '2', '2', '2', '2', ...               14   \n",
       "3  ['2', '2', '2', '2', '2', '2', '2', '2', '2', ...               14   \n",
       "4  ['3', '3', '3', '3', '3', '3', '3', '3', '3', ...               13   \n",
       "\n",
       "   Safety_Ratio Gene1_Symbol Gene2_Symbol  \n",
       "0            10        CRLS1        PLPBP  \n",
       "1             9        SGMS1        PLPBP  \n",
       "2             0         RRM2        RRM2B  \n",
       "3             0         RRM1        RRM2B  \n",
       "4             0      SLC15A2      SLC15A1  "
      ]
     },
     "execution_count": 430,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gtex_db.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 431,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"['2', '3', '2', '3', '2', '3', '2', '3', '2', '3', '2', '3', '2', '3', '2', '3', '2', '3', '2', '3', '2', '2', '3', '2', '2', '3']\""
      ]
     },
     "execution_count": 431,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gtex_db.RECON[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 432,
   "metadata": {},
   "outputs": [],
   "source": [
    "#gtex_db = dko_db #pd.concat([dko_db_safe,dko_db_some_toxic])\n",
    "df = pd.DataFrame(np.zeros((15000,len(gtex_db.columns))),columns = gtex_db.columns)\n",
    "df['Drugs_1']= 0\n",
    "df['groups_1'] = 0\n",
    "df['Drugs_2']= 0\n",
    "df['groups_2'] = 0\n",
    "drugbank_genes = drugbank_df.entrez_gene_id\n",
    "df = df.astype('object')\n",
    "k = 0\n",
    "genes_1 =  gtex_db.iloc[:,0].unique().tolist()\n",
    "for i in range(len(genes_1)):\n",
    "    gene = genes_1[i]\n",
    "    if int(gene) in drugbank_df.entrez_gene_id.tolist():\n",
    "        genes_2 = gtex_db.loc[gtex_db.Gene1==gene,'Gene2']\n",
    "        genes_2 = [int(x) for x in genes_2 if int(x) in drugbank_genes]\n",
    "\n",
    "        drugs_1 = list(set(drugbank_df.loc[drugbank_genes==int(gene),'name']))\n",
    "        drugs_2 = drugbank_df.loc[drugbank_genes.isin(genes_2),'name'].tolist()\n",
    "        groups_2 = drugbank_df.loc[drugbank_genes.isin(genes_2),'groups'].tolist()\n",
    "\n",
    "        genes_2_ext = drugbank_df.loc[drugbank_genes.isin(genes_2),'entrez_gene_id'].tolist()\n",
    "\n",
    "        for l in range(len(drugs_1)):\n",
    "            df.loc[k:k + len(genes_2_ext)-1,'Gene1'] = int(gene)\n",
    "            #df.iloc[k+ len(genes_2_ext),1:] = gtex_db.iloc[i,1:]\n",
    "\n",
    "            df.loc[k:k+ len(genes_2_ext)-1,'Drugs_1'] = drugs_1[l]\n",
    "            df.loc[k:k+ len(genes_2_ext)-1,'groups_1'] = list(drugbank_df.loc[drugbank_df.name==drugs_1[l],'groups'])[0]\n",
    "\n",
    "            df.loc[k:k + len(genes_2_ext)-1,'Gene2'] = genes_2_ext\n",
    "            df.loc[k:k + len(genes_2_ext)-1,'Drugs_2'] = drugs_2\n",
    "            df.loc[k:k + len(genes_2_ext)-1,'groups_2'] = groups_2\n",
    "\n",
    "            k = k +len(genes_2_ext) \n",
    "    else:\n",
    "        pass\n",
    "\n",
    "#df = df.loc[df.Drugs_1!=0,:]\n",
    "#df.to_csv('Drug_Repurposing_Results/GTEx_SKO_Safe_Drugs.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 433,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.Gene1 = df.Gene1.astype('int') \n",
    "df.Gene2 = df.Gene2.astype('int')\n",
    "gtex_db.Gene1 = gtex_db.Gene1.astype('int') \n",
    "gtex_db.Gene2 = gtex_db.Gene2.astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 434,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mapping the gene symbol and essentiality\n",
    "for i in range(gtex_db.shape[0]):\n",
    "    gene1 = int(gtex_db.loc[i,'Gene1'])\n",
    "    gene2 = int(gtex_db.loc[i,'Gene2'])\n",
    "    cols = ['Series','RECON','Experiment_Freq','Safety_Ratio','Gene1_Symbol','Gene2_Symbol']\n",
    "    df.loc[np.logical_and(df.Gene1==gene1,df.Gene2==gene2),cols] = gtex_db.loc[np.logical_and(gtex_db.Gene1 ==gene1,gtex_db.Gene2==gene2),cols].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 435,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene1</th>\n",
       "      <th>Gene2</th>\n",
       "      <th>Series</th>\n",
       "      <th>RECON</th>\n",
       "      <th>Experiment_Freq</th>\n",
       "      <th>Safety_Ratio</th>\n",
       "      <th>Gene1_Symbol</th>\n",
       "      <th>Gene2_Symbol</th>\n",
       "      <th>Drugs_1</th>\n",
       "      <th>groups_1</th>\n",
       "      <th>Drugs_2</th>\n",
       "      <th>groups_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6241</td>\n",
       "      <td>2987</td>\n",
       "      <td>['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...</td>\n",
       "      <td>['2', '3', '2', '3', '2', '3', '2', '3', '2', ...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>investigational</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6241</td>\n",
       "      <td>2987</td>\n",
       "      <td>['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...</td>\n",
       "      <td>['2', '3', '2', '3', '2', '3', '2', '3', '2', ...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>investigational</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>approved</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6241</td>\n",
       "      <td>2987</td>\n",
       "      <td>['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...</td>\n",
       "      <td>['2', '3', '2', '3', '2', '3', '2', '3', '2', ...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>investigational</td>\n",
       "      <td>Guanosine-5'-Monophosphate</td>\n",
       "      <td>experimental</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6241</td>\n",
       "      <td>2987</td>\n",
       "      <td>['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...</td>\n",
       "      <td>['2', '3', '2', '3', '2', '3', '2', '3', '2', ...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>GTI 2040</td>\n",
       "      <td>investigational</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6241</td>\n",
       "      <td>2987</td>\n",
       "      <td>['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...</td>\n",
       "      <td>['2', '3', '2', '3', '2', '3', '2', '3', '2', ...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>GTI 2040</td>\n",
       "      <td>investigational</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>approved</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gene1  Gene2                                             Series  \\\n",
       "0   6241   2987  ['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...   \n",
       "1   6241   2987  ['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...   \n",
       "2   6241   2987  ['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...   \n",
       "3   6241   2987  ['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...   \n",
       "4   6241   2987  ['H1299_12H', 'H1299_24H', 'H1299_36H', 'H1299...   \n",
       "\n",
       "                                               RECON Experiment_Freq  \\\n",
       "0  ['2', '3', '2', '3', '2', '3', '2', '3', '2', ...              10   \n",
       "1  ['2', '3', '2', '3', '2', '3', '2', '3', '2', ...              10   \n",
       "2  ['2', '3', '2', '3', '2', '3', '2', '3', '2', ...              10   \n",
       "3  ['2', '3', '2', '3', '2', '3', '2', '3', '2', ...              10   \n",
       "4  ['2', '3', '2', '3', '2', '3', '2', '3', '2', ...              10   \n",
       "\n",
       "  Safety_Ratio Gene1_Symbol Gene2_Symbol               Drugs_1  \\\n",
       "0            0         RRM2         GUK1  Motexafin gadolinium   \n",
       "1            0         RRM2         GUK1  Motexafin gadolinium   \n",
       "2            0         RRM2         GUK1  Motexafin gadolinium   \n",
       "3            0         RRM2         GUK1              GTI 2040   \n",
       "4            0         RRM2         GUK1              GTI 2040   \n",
       "\n",
       "          groups_1                     Drugs_2                  groups_2  \n",
       "0  investigational                Valaciclovir  approved|investigational  \n",
       "1  investigational                   Acyclovir                  approved  \n",
       "2  investigational  Guanosine-5'-Monophosphate              experimental  \n",
       "3  investigational                Valaciclovir  approved|investigational  \n",
       "4  investigational                   Acyclovir                  approved  "
      ]
     },
     "execution_count": 435,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 436,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15000, 12)"
      ]
     },
     "execution_count": 436,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 437,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.loc[df.Drugs_1!=0,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 438,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene1</th>\n",
       "      <th>Gene2</th>\n",
       "      <th>Series</th>\n",
       "      <th>RECON</th>\n",
       "      <th>Experiment_Freq</th>\n",
       "      <th>Safety_Ratio</th>\n",
       "      <th>Gene1_Symbol</th>\n",
       "      <th>Gene2_Symbol</th>\n",
       "      <th>Drugs_1</th>\n",
       "      <th>groups_1</th>\n",
       "      <th>Drugs_2</th>\n",
       "      <th>groups_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11201</th>\n",
       "      <td>2805</td>\n",
       "      <td>2806</td>\n",
       "      <td>['S2']</td>\n",
       "      <td>['2']</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>GOT1</td>\n",
       "      <td>GOT2</td>\n",
       "      <td>Copper</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>DB02783</td>\n",
       "      <td>experimental</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11202</th>\n",
       "      <td>2805</td>\n",
       "      <td>2806</td>\n",
       "      <td>['S2']</td>\n",
       "      <td>['2']</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>GOT1</td>\n",
       "      <td>GOT2</td>\n",
       "      <td>Maleic Acid</td>\n",
       "      <td>experimental</td>\n",
       "      <td>Pyridoxal phosphate</td>\n",
       "      <td>approved|investigational|nutraceutical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11203</th>\n",
       "      <td>2805</td>\n",
       "      <td>2806</td>\n",
       "      <td>['S2']</td>\n",
       "      <td>['2']</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>GOT1</td>\n",
       "      <td>GOT2</td>\n",
       "      <td>Maleic Acid</td>\n",
       "      <td>experimental</td>\n",
       "      <td>Aspartic acid</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11204</th>\n",
       "      <td>2805</td>\n",
       "      <td>2806</td>\n",
       "      <td>['S2']</td>\n",
       "      <td>['2']</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>GOT1</td>\n",
       "      <td>GOT2</td>\n",
       "      <td>Maleic Acid</td>\n",
       "      <td>experimental</td>\n",
       "      <td>Glutamic acid</td>\n",
       "      <td>approved|nutraceutical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11205</th>\n",
       "      <td>2805</td>\n",
       "      <td>2806</td>\n",
       "      <td>['S2']</td>\n",
       "      <td>['2']</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>GOT1</td>\n",
       "      <td>GOT2</td>\n",
       "      <td>Maleic Acid</td>\n",
       "      <td>experimental</td>\n",
       "      <td>DB02783</td>\n",
       "      <td>experimental</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Gene1  Gene2  Series  RECON Experiment_Freq Safety_Ratio Gene1_Symbol  \\\n",
       "11201   2805   2806  ['S2']  ['2']               1            0         GOT1   \n",
       "11202   2805   2806  ['S2']  ['2']               1            0         GOT1   \n",
       "11203   2805   2806  ['S2']  ['2']               1            0         GOT1   \n",
       "11204   2805   2806  ['S2']  ['2']               1            0         GOT1   \n",
       "11205   2805   2806  ['S2']  ['2']               1            0         GOT1   \n",
       "\n",
       "      Gene2_Symbol      Drugs_1                  groups_1  \\\n",
       "11201         GOT2       Copper  approved|investigational   \n",
       "11202         GOT2  Maleic Acid              experimental   \n",
       "11203         GOT2  Maleic Acid              experimental   \n",
       "11204         GOT2  Maleic Acid              experimental   \n",
       "11205         GOT2  Maleic Acid              experimental   \n",
       "\n",
       "                   Drugs_2                                groups_2  \n",
       "11201              DB02783                            experimental  \n",
       "11202  Pyridoxal phosphate  approved|investigational|nutraceutical  \n",
       "11203        Aspartic acid                  approved|nutraceutical  \n",
       "11204        Glutamic acid                  approved|nutraceutical  \n",
       "11205              DB02783                            experimental  "
      ]
     },
     "execution_count": 438,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 439,
   "metadata": {},
   "outputs": [],
   "source": [
    "dko_summ = df.loc[:,['Gene1_Symbol','Gene2_Symbol','Drugs_1','Drugs_2','groups_1','groups_2','Experiment_Freq','Safety_Ratio']]\n",
    "dko_summ.columns = ['Gene1_Symbol', 'Gene2_Symbol', 'Drugs_1', 'Drugs_2', 'Drugs_Group_1', 'Drugs_Group_2','Phenotype_Essentiality','Phenotype_Safety']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 440,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene1_Symbol</th>\n",
       "      <th>Gene2_Symbol</th>\n",
       "      <th>Drugs_1</th>\n",
       "      <th>Drugs_2</th>\n",
       "      <th>Drugs_Group_1</th>\n",
       "      <th>Drugs_Group_2</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>Guanosine-5'-Monophosphate</td>\n",
       "      <td>investigational</td>\n",
       "      <td>experimental</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>GTI 2040</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>GTI 2040</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Gene1_Symbol Gene2_Symbol               Drugs_1                     Drugs_2  \\\n",
       "0         RRM2         GUK1  Motexafin gadolinium                Valaciclovir   \n",
       "1         RRM2         GUK1  Motexafin gadolinium                   Acyclovir   \n",
       "2         RRM2         GUK1  Motexafin gadolinium  Guanosine-5'-Monophosphate   \n",
       "3         RRM2         GUK1              GTI 2040                Valaciclovir   \n",
       "4         RRM2         GUK1              GTI 2040                   Acyclovir   \n",
       "\n",
       "     Drugs_Group_1             Drugs_Group_2 Phenotype_Essentiality  \\\n",
       "0  investigational  approved|investigational                     10   \n",
       "1  investigational                  approved                     10   \n",
       "2  investigational              experimental                     10   \n",
       "3  investigational  approved|investigational                     10   \n",
       "4  investigational                  approved                     10   \n",
       "\n",
       "  Phenotype_Safety  \n",
       "0                0  \n",
       "1                0  \n",
       "2                0  \n",
       "3                0  \n",
       "4                0  "
      ]
     },
     "execution_count": 440,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_summ.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 442,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11206, 8)"
      ]
     },
     "execution_count": 442,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_summ.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.groups_1.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.groups_2.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 445,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11206, 8)"
      ]
     },
     "execution_count": 445,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_summ.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 446,
   "metadata": {},
   "outputs": [],
   "source": [
    "dko_summ = dko_summ.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 447,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10709, 8)"
      ]
     },
     "execution_count": 447,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_summ.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 448,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# One drug for target pair\n",
    "#dko_summ.loc[dko_summ.Drugs_1==dko_summ.Drugs_2,:].to_csv('Drug_Repurposing_Results_/DKO_Drugs_OneDrug.csv')\n",
    "#dko_summ.loc[dko_summ.Drugs_1==dko_summ.Drugs_2,:].head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 449,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dko_summ.loc[dko_summ.Drugs_1==dko_summ.Drugs_2,:].tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 501,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(56, 2)"
      ]
     },
     "execution_count": 501,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of drugable gene pairs\n",
    "dko_summ.loc[:,['Gene1_Symbol','Gene2_Symbol']].drop_duplicates().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 450,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filter by drug groups\n",
    "\n",
    "dko_summ = dko_summ[~dko_summ.Drugs_Group_1.str.contains('withdrawn')]\n",
    "dko_summ = dko_summ.loc[dko_summ.Drugs_Group_1 != 'experimental',:]\n",
    "dko_summ = dko_summ.loc[~dko_summ.Drugs_Group_1.str.contains('nutraceutical'),:]\n",
    "dko_summ = dko_summ.loc[~dko_summ.Drugs_1.isin(['Ethanol','NADH','Succinic acid','Glycerin']),:]\n",
    "\n",
    "#dko_summ = dko_summ.loc[~dko_summ.Drugs_Group_1.str.contains( 'nutraceutical'),:]\n",
    "\n",
    "#dko_summ = dko_summ.loc[dko_summ.Drugs_Group_1 != 'withdrawn',:]\n",
    "dko_summ = dko_summ[~dko_summ.Drugs_Group_2.str.contains('withdrawn')]\n",
    "dko_summ = dko_summ.loc[dko_summ.Drugs_Group_2 != 'experimental',:]\n",
    "dko_summ = dko_summ.loc[~dko_summ.Drugs_Group_1.str.contains('nutraceutical'),:]\n",
    "dko_summ = dko_summ.loc[~dko_summ.Drugs_2.isin(['Ethanol','NADH','Succinic acid','Glycerin']),:]\n",
    "\n",
    "#dko_summ = dko_summ.loc[~dko_summ.Drugs_Group_2.str.contains('nutraceutical'),:]\n",
    "\n",
    "#dko_summ = dko_summ.loc[dko_summ.Drugs_Group_2 != 'withdrawn',:]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 451,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dko_summ.loc[dko_summ.Drugs_2 =='Gemcitabine',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 452,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dko_summ.loc[dko_summ.Drugs_2 =='Fosinopril',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 453,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4529, 8)"
      ]
     },
     "execution_count": 453,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_summ.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 454,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dko_summ = dko_summ.loc[dko_summ.Phenotype_Essentiality>2,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 455,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4529, 8)"
      ]
     },
     "execution_count": 455,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_summ.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 456,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene1_Symbol</th>\n",
       "      <th>Gene2_Symbol</th>\n",
       "      <th>Drugs_1</th>\n",
       "      <th>Drugs_2</th>\n",
       "      <th>Drugs_Group_1</th>\n",
       "      <th>Drugs_Group_2</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Motexafin gadolinium</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>GTI 2040</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>GTI 2040</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Gallium nitrate</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Gallium nitrate</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Imexon</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Imexon</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Cladribine</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>RRM2</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Cladribine</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Hydroxyurea</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>approved</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Hydroxyurea</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>approved</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Tezacitabine</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Tezacitabine</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Clofarabine</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Clofarabine</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Imexon</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Imexon</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Cladribine</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>RRM1</td>\n",
       "      <td>GUK1</td>\n",
       "      <td>Cladribine</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>approved|investigational</td>\n",
       "      <td>approved</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gene1_Symbol Gene2_Symbol               Drugs_1       Drugs_2  \\\n",
       "0          RRM2         GUK1  Motexafin gadolinium  Valaciclovir   \n",
       "1          RRM2         GUK1  Motexafin gadolinium     Acyclovir   \n",
       "3          RRM2         GUK1              GTI 2040  Valaciclovir   \n",
       "4          RRM2         GUK1              GTI 2040     Acyclovir   \n",
       "6          RRM2         GUK1       Gallium nitrate  Valaciclovir   \n",
       "7          RRM2         GUK1       Gallium nitrate     Acyclovir   \n",
       "9          RRM2         GUK1                Imexon  Valaciclovir   \n",
       "10         RRM2         GUK1                Imexon     Acyclovir   \n",
       "12         RRM2         GUK1            Cladribine  Valaciclovir   \n",
       "13         RRM2         GUK1            Cladribine     Acyclovir   \n",
       "15         RRM1         GUK1           Hydroxyurea  Valaciclovir   \n",
       "16         RRM1         GUK1           Hydroxyurea     Acyclovir   \n",
       "18         RRM1         GUK1          Tezacitabine  Valaciclovir   \n",
       "19         RRM1         GUK1          Tezacitabine     Acyclovir   \n",
       "21         RRM1         GUK1           Clofarabine  Valaciclovir   \n",
       "22         RRM1         GUK1           Clofarabine     Acyclovir   \n",
       "24         RRM1         GUK1                Imexon  Valaciclovir   \n",
       "25         RRM1         GUK1                Imexon     Acyclovir   \n",
       "27         RRM1         GUK1            Cladribine  Valaciclovir   \n",
       "28         RRM1         GUK1            Cladribine     Acyclovir   \n",
       "\n",
       "               Drugs_Group_1             Drugs_Group_2 Phenotype_Essentiality  \\\n",
       "0            investigational  approved|investigational                     10   \n",
       "1            investigational                  approved                     10   \n",
       "3            investigational  approved|investigational                     10   \n",
       "4            investigational                  approved                     10   \n",
       "6   approved|investigational  approved|investigational                     10   \n",
       "7   approved|investigational                  approved                     10   \n",
       "9            investigational  approved|investigational                     10   \n",
       "10           investigational                  approved                     10   \n",
       "12  approved|investigational  approved|investigational                     10   \n",
       "13  approved|investigational                  approved                     10   \n",
       "15                  approved  approved|investigational                     10   \n",
       "16                  approved                  approved                     10   \n",
       "18           investigational  approved|investigational                     10   \n",
       "19           investigational                  approved                     10   \n",
       "21  approved|investigational  approved|investigational                     10   \n",
       "22  approved|investigational                  approved                     10   \n",
       "24           investigational  approved|investigational                     10   \n",
       "25           investigational                  approved                     10   \n",
       "27  approved|investigational  approved|investigational                     10   \n",
       "28  approved|investigational                  approved                     10   \n",
       "\n",
       "   Phenotype_Safety  \n",
       "0                 0  \n",
       "1                 0  \n",
       "3                 0  \n",
       "4                 0  \n",
       "6                 0  \n",
       "7                 0  \n",
       "9                 0  \n",
       "10                0  \n",
       "12                0  \n",
       "13                0  \n",
       "15                0  \n",
       "16                0  \n",
       "18                0  \n",
       "19                0  \n",
       "21                0  \n",
       "22                0  \n",
       "24                0  \n",
       "25                0  \n",
       "27                0  \n",
       "28                0  "
      ]
     },
     "execution_count": 456,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_summ.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 457,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Safe drug pairs\n",
    "#dko_summ.loc[dko_summ.DKO_Toxicity=='Safe',:].head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#*** DKO drug pairs with agonist in any\n",
    "idx = np.logical_or(dko_summ.MOA_1.isin(['inducer','activator','agonist','stimulator']),dko_summ.MOA_2.isin(['inducer','activator','agonist','stimulator']))\n",
    "dko_summ_inducer = dko_summ.loc[idx,:]\n",
    "#dko_summ_inducer = dko_summ_inducer.loc[dko_summ_inducer.MOA_2.isin(['inducer','activator','agonist']),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 458,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dko_summ_inducer.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "metadata": {},
   "outputs": [],
   "source": [
    "dko_summ['Gene_Pair'] = dko_summ.Gene1_Symbol.astype('str')+';'+dko_summ.Gene2_Symbol.astype('str')\n",
    "dko_summ['Drug_Pair'] = dko_summ.Drugs_1.astype('str')+';'+dko_summ.Drugs_2.astype('str')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 460,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Change dublicated drug pairs with a unifed name pairs\n",
    "for i in range(dko_summ.shape[0]):\n",
    "    drug1 = dko_summ.iloc[i,2]\n",
    "    drug2 = dko_summ.iloc[i,3]\n",
    "    for k in range(i+1,dko_summ.shape[0],1):\n",
    "        if drug1 == dko_summ.iloc[k,3] and drug2 == dko_summ.iloc[k,2]:\n",
    "            dko_summ.iloc[k,9] = dko_summ.iloc[i,9]\n",
    "        else:\n",
    "            pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 461,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3411, 6)"
      ]
     },
     "execution_count": 461,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques = dko_summ.groupby('Drug_Pair').agg({'Gene_Pair': lambda x: set(x),'Gene_Pair': lambda x: set(x),\n",
    "                                     'Phenotype_Essentiality': lambda x: list(x),'Phenotype_Essentiality': lambda x: np.mean(x),\n",
    "                                          'Phenotype_Safety': lambda x: list(x),'Phenotype_Safety': lambda x: np.mean(x)\n",
    "                                         })\n",
    "df_uniques['Number_Genes'] = df_uniques['Gene_Pair'].apply(lambda x: len(x))\n",
    "df_uniques= df_uniques.sort_values(by=['Number_Genes'],ascending=False)\n",
    "df_uniques['Drugs1'] =  pd.Series({x: x.split(';')[0] for x in df_uniques.index})\n",
    "df_uniques['Drugs2'] =  pd.Series({x: x.split(';')[1] for x in df_uniques.index})\n",
    "df_uniques.to_csv('KO_data/DKO_Drug_Repurposing_Unique.csv')\n",
    "df_uniques.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Pemetrexed</th>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.80</td>\n",
       "      <td>0.4</td>\n",
       "      <td>5</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercaptopurine;Pemetrexed</th>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.80</td>\n",
       "      <td>0.4</td>\n",
       "      <td>5</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine;Pemetrexed</th>\n",
       "      <td>{TYMP;DHFR, SLC29A2;SLC29A1, TYMS;SLC29A2, TYM...</td>\n",
       "      <td>1.20</td>\n",
       "      <td>0.8</td>\n",
       "      <td>5</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine;Pralatrexate</th>\n",
       "      <td>{TYMS;SLC29A2, TYMP;DHFR, TYMS;TYMP, DHFR;SLC2...</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.5</td>\n",
       "      <td>4</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>Pralatrexate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Levocarnitine</th>\n",
       "      <td>{CMPK1;CPT2, CMPK1;SLC22A5, CMPK1;SLC25A20, SL...</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Levocarnitine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tezacitabine;Pyrimethamine</th>\n",
       "      <td>{TYMP;DHFR}</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Tezacitabine</td>\n",
       "      <td>Pyrimethamine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tezacitabine;Trimetrexate</th>\n",
       "      <td>{TYMP;DHFR}</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Tezacitabine</td>\n",
       "      <td>Trimetrexate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tezacitabine;Valaciclovir</th>\n",
       "      <td>{RRM1;GUK1}</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Tezacitabine</td>\n",
       "      <td>Valaciclovir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thymectacin;Azathioprine</th>\n",
       "      <td>{TYMS;SLC29A2}</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Thymectacin</td>\n",
       "      <td>Azathioprine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gamma-Hydroxybutyric acid;Phosphatidyl serine</th>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>gamma-Hydroxybutyric acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3411 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                       Gene_Pair  \\\n",
       "Drug_Pair                                                                                          \n",
       "Azathioprine;Pemetrexed                        {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...   \n",
       "Mercaptopurine;Pemetrexed                      {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...   \n",
       "Trifluridine;Pemetrexed                        {TYMP;DHFR, SLC29A2;SLC29A1, TYMS;SLC29A2, TYM...   \n",
       "Trifluridine;Pralatrexate                      {TYMS;SLC29A2, TYMP;DHFR, TYMS;TYMP, DHFR;SLC2...   \n",
       "Gemcitabine;Levocarnitine                      {CMPK1;CPT2, CMPK1;SLC22A5, CMPK1;SLC25A20, SL...   \n",
       "...                                                                                          ...   \n",
       "Tezacitabine;Pyrimethamine                                                           {TYMP;DHFR}   \n",
       "Tezacitabine;Trimetrexate                                                            {TYMP;DHFR}   \n",
       "Tezacitabine;Valaciclovir                                                            {RRM1;GUK1}   \n",
       "Thymectacin;Azathioprine                                                          {TYMS;SLC29A2}   \n",
       "gamma-Hydroxybutyric acid;Phosphatidyl serine                                   {SLC16A1;PTDSS1}   \n",
       "\n",
       "                                               Phenotype_Essentiality  \\\n",
       "Drug_Pair                                                               \n",
       "Azathioprine;Pemetrexed                                          2.80   \n",
       "Mercaptopurine;Pemetrexed                                        2.80   \n",
       "Trifluridine;Pemetrexed                                          1.20   \n",
       "Trifluridine;Pralatrexate                                        1.00   \n",
       "Gemcitabine;Levocarnitine                                        1.75   \n",
       "...                                                               ...   \n",
       "Tezacitabine;Pyrimethamine                                       1.00   \n",
       "Tezacitabine;Trimetrexate                                        1.00   \n",
       "Tezacitabine;Valaciclovir                                       10.00   \n",
       "Thymectacin;Azathioprine                                         1.00   \n",
       "gamma-Hydroxybutyric acid;Phosphatidyl serine                    3.00   \n",
       "\n",
       "                                               Phenotype_Safety  Number_Genes  \\\n",
       "Drug_Pair                                                                       \n",
       "Azathioprine;Pemetrexed                                     0.4             5   \n",
       "Mercaptopurine;Pemetrexed                                   0.4             5   \n",
       "Trifluridine;Pemetrexed                                     0.8             5   \n",
       "Trifluridine;Pralatrexate                                   0.5             4   \n",
       "Gemcitabine;Levocarnitine                                   1.0             4   \n",
       "...                                                         ...           ...   \n",
       "Tezacitabine;Pyrimethamine                                  1.0             1   \n",
       "Tezacitabine;Trimetrexate                                   1.0             1   \n",
       "Tezacitabine;Valaciclovir                                   0.0             1   \n",
       "Thymectacin;Azathioprine                                    0.0             1   \n",
       "gamma-Hydroxybutyric acid;Phosphatidyl serine               3.0             1   \n",
       "\n",
       "                                                                  Drugs1  \\\n",
       "Drug_Pair                                                                  \n",
       "Azathioprine;Pemetrexed                                     Azathioprine   \n",
       "Mercaptopurine;Pemetrexed                                 Mercaptopurine   \n",
       "Trifluridine;Pemetrexed                                     Trifluridine   \n",
       "Trifluridine;Pralatrexate                                   Trifluridine   \n",
       "Gemcitabine;Levocarnitine                                    Gemcitabine   \n",
       "...                                                                  ...   \n",
       "Tezacitabine;Pyrimethamine                                  Tezacitabine   \n",
       "Tezacitabine;Trimetrexate                                   Tezacitabine   \n",
       "Tezacitabine;Valaciclovir                                   Tezacitabine   \n",
       "Thymectacin;Azathioprine                                     Thymectacin   \n",
       "gamma-Hydroxybutyric acid;Phosphatidyl serine  gamma-Hydroxybutyric acid   \n",
       "\n",
       "                                                            Drugs2  \n",
       "Drug_Pair                                                           \n",
       "Azathioprine;Pemetrexed                                 Pemetrexed  \n",
       "Mercaptopurine;Pemetrexed                               Pemetrexed  \n",
       "Trifluridine;Pemetrexed                                 Pemetrexed  \n",
       "Trifluridine;Pralatrexate                             Pralatrexate  \n",
       "Gemcitabine;Levocarnitine                            Levocarnitine  \n",
       "...                                                            ...  \n",
       "Tezacitabine;Pyrimethamine                           Pyrimethamine  \n",
       "Tezacitabine;Trimetrexate                             Trimetrexate  \n",
       "Tezacitabine;Valaciclovir                             Valaciclovir  \n",
       "Thymectacin;Azathioprine                              Azathioprine  \n",
       "gamma-Hydroxybutyric acid;Phosphatidyl serine  Phosphatidyl serine  \n",
       "\n",
       "[3411 rows x 6 columns]"
      ]
     },
     "execution_count": 462,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.sort_values(by=['Number_Genes'],ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 463,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Pemetrexed</th>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>5</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine;Pemetrexed</th>\n",
       "      <td>{TYMP;DHFR, SLC29A2;SLC29A1, TYMS;SLC29A2, TYM...</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>5</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercaptopurine;Pemetrexed</th>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>5</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine;Pralatrexate</th>\n",
       "      <td>{TYMS;SLC29A2, TYMP;DHFR, TYMS;TYMP, DHFR;SLC2...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>4</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>Pralatrexate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Levocarnitine</th>\n",
       "      <td>{CMPK1;CPT2, CMPK1;SLC22A5, CMPK1;SLC25A20, SL...</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Levocarnitine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Didanosine;Gemcitabine</th>\n",
       "      <td>{TYMS;SLC29A2, CMPK1;PNP, CMPK1;SLC29A2, SLC29...</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>4</td>\n",
       "      <td>Didanosine</td>\n",
       "      <td>Gemcitabine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine;Gemcitabine</th>\n",
       "      <td>{CMPK1;SLC29A2, TYMS;TYMP, TYMS;SLC29A2, SLC29...</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>Gemcitabine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate;Pyridoxal phosphate</th>\n",
       "      <td>{GGH;CTH, DHFR;PLPBP, TYMS;PLPBP, SLCO1A2;CTH}</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>4</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Pyridoxal phosphate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine;Methotrexate</th>\n",
       "      <td>{TYMS;SLC29A2, TYMP;DHFR, TYMS;TYMP, DHFR;SLC2...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>4</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>Methotrexate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Didanosine;Pemetrexed</th>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, SLC29A2;SLC29A1}</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Didanosine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyclacillin;Methotrexate</th>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Cyclacillin</td>\n",
       "      <td>Methotrexate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Fluorouracil</th>\n",
       "      <td>{TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate;Mercaptopurine</th>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate;Azathioprine</th>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Azathioprine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercaptopurine;Fluorouracil</th>\n",
       "      <td>{TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercaptopurine;Gemcitabine</th>\n",
       "      <td>{CMPK1;SLC29A2, TYMS;SLC29A2, SLC29A2;SLC29A1}</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>3</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Gemcitabine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cladribine;Acyclovir</th>\n",
       "      <td>{GUK1;PNP, RRM2;GUK1, RRM1;GUK1}</td>\n",
       "      <td>9.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Cladribine</td>\n",
       "      <td>Acyclovir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Aminohippuric acid</th>\n",
       "      <td>{CMPK1;SLC16A1, CMPK1;SLC22A5, SLC22A5;TYMS}</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Aminohippuric acid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Ampicillin</th>\n",
       "      <td>{CMPK1;SLC16A1, CMPK1;SLC22A5, SLC22A5;TYMS}</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Ampicillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Fluorouracil</th>\n",
       "      <td>{TYMS;TYMP, TYMS;SLC29A2, SLC29A2;SLC29A1}</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                          Gene_Pair  \\\n",
       "Drug_Pair                                                                             \n",
       "Azathioprine;Pemetrexed           {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...   \n",
       "Trifluridine;Pemetrexed           {TYMP;DHFR, SLC29A2;SLC29A1, TYMS;SLC29A2, TYM...   \n",
       "Mercaptopurine;Pemetrexed         {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...   \n",
       "Trifluridine;Pralatrexate         {TYMS;SLC29A2, TYMP;DHFR, TYMS;TYMP, DHFR;SLC2...   \n",
       "Gemcitabine;Levocarnitine         {CMPK1;CPT2, CMPK1;SLC22A5, CMPK1;SLC25A20, SL...   \n",
       "Didanosine;Gemcitabine            {TYMS;SLC29A2, CMPK1;PNP, CMPK1;SLC29A2, SLC29...   \n",
       "Trifluridine;Gemcitabine          {CMPK1;SLC29A2, TYMS;TYMP, TYMS;SLC29A2, SLC29...   \n",
       "Methotrexate;Pyridoxal phosphate     {GGH;CTH, DHFR;PLPBP, TYMS;PLPBP, SLCO1A2;CTH}   \n",
       "Trifluridine;Methotrexate         {TYMS;SLC29A2, TYMP;DHFR, TYMS;TYMP, DHFR;SLC2...   \n",
       "Didanosine;Pemetrexed                 {TYMS;SLC29A2, DHFR;SLC29A2, SLC29A2;SLC29A1}   \n",
       "Cyclacillin;Methotrexate              {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}   \n",
       "Azathioprine;Fluorouracil               {TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}   \n",
       "Methotrexate;Mercaptopurine                {TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}   \n",
       "Methotrexate;Azathioprine                  {TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}   \n",
       "Mercaptopurine;Fluorouracil             {TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}   \n",
       "Mercaptopurine;Gemcitabine           {CMPK1;SLC29A2, TYMS;SLC29A2, SLC29A2;SLC29A1}   \n",
       "Cladribine;Acyclovir                               {GUK1;PNP, RRM2;GUK1, RRM1;GUK1}   \n",
       "Gemcitabine;Aminohippuric acid         {CMPK1;SLC16A1, CMPK1;SLC22A5, SLC22A5;TYMS}   \n",
       "Gemcitabine;Ampicillin                 {CMPK1;SLC16A1, CMPK1;SLC22A5, SLC22A5;TYMS}   \n",
       "Gemcitabine;Fluorouracil                 {TYMS;TYMP, TYMS;SLC29A2, SLC29A2;SLC29A1}   \n",
       "\n",
       "                                  Phenotype_Essentiality  Phenotype_Safety  \\\n",
       "Drug_Pair                                                                    \n",
       "Azathioprine;Pemetrexed                         2.800000          0.400000   \n",
       "Trifluridine;Pemetrexed                         1.200000          0.800000   \n",
       "Mercaptopurine;Pemetrexed                       2.800000          0.400000   \n",
       "Trifluridine;Pralatrexate                       1.000000          0.500000   \n",
       "Gemcitabine;Levocarnitine                       1.750000          1.000000   \n",
       "Didanosine;Gemcitabine                          1.600000          1.200000   \n",
       "Trifluridine;Gemcitabine                        1.500000          1.000000   \n",
       "Methotrexate;Pyridoxal phosphate                1.000000          0.500000   \n",
       "Trifluridine;Methotrexate                       1.000000          0.500000   \n",
       "Didanosine;Pemetrexed                           1.333333          0.666667   \n",
       "Cyclacillin;Methotrexate                        5.000000          0.666667   \n",
       "Azathioprine;Fluorouracil                       2.666667          0.666667   \n",
       "Methotrexate;Mercaptopurine                     2.333333          0.000000   \n",
       "Methotrexate;Azathioprine                       2.333333          0.000000   \n",
       "Mercaptopurine;Fluorouracil                     2.666667          0.666667   \n",
       "Mercaptopurine;Gemcitabine                      1.750000          1.250000   \n",
       "Cladribine;Acyclovir                            9.333333          0.000000   \n",
       "Gemcitabine;Aminohippuric acid                  1.333333          0.666667   \n",
       "Gemcitabine;Ampicillin                          1.333333          0.666667   \n",
       "Gemcitabine;Fluorouracil                        1.333333          1.000000   \n",
       "\n",
       "                                  Number_Genes          Drugs1  \\\n",
       "Drug_Pair                                                        \n",
       "Azathioprine;Pemetrexed                      5    Azathioprine   \n",
       "Trifluridine;Pemetrexed                      5    Trifluridine   \n",
       "Mercaptopurine;Pemetrexed                    5  Mercaptopurine   \n",
       "Trifluridine;Pralatrexate                    4    Trifluridine   \n",
       "Gemcitabine;Levocarnitine                    4     Gemcitabine   \n",
       "Didanosine;Gemcitabine                       4      Didanosine   \n",
       "Trifluridine;Gemcitabine                     4    Trifluridine   \n",
       "Methotrexate;Pyridoxal phosphate             4    Methotrexate   \n",
       "Trifluridine;Methotrexate                    4    Trifluridine   \n",
       "Didanosine;Pemetrexed                        3      Didanosine   \n",
       "Cyclacillin;Methotrexate                     3     Cyclacillin   \n",
       "Azathioprine;Fluorouracil                    3    Azathioprine   \n",
       "Methotrexate;Mercaptopurine                  3    Methotrexate   \n",
       "Methotrexate;Azathioprine                    3    Methotrexate   \n",
       "Mercaptopurine;Fluorouracil                  3  Mercaptopurine   \n",
       "Mercaptopurine;Gemcitabine                   3  Mercaptopurine   \n",
       "Cladribine;Acyclovir                         3      Cladribine   \n",
       "Gemcitabine;Aminohippuric acid               3     Gemcitabine   \n",
       "Gemcitabine;Ampicillin                       3     Gemcitabine   \n",
       "Gemcitabine;Fluorouracil                     3     Gemcitabine   \n",
       "\n",
       "                                               Drugs2  \n",
       "Drug_Pair                                              \n",
       "Azathioprine;Pemetrexed                    Pemetrexed  \n",
       "Trifluridine;Pemetrexed                    Pemetrexed  \n",
       "Mercaptopurine;Pemetrexed                  Pemetrexed  \n",
       "Trifluridine;Pralatrexate                Pralatrexate  \n",
       "Gemcitabine;Levocarnitine               Levocarnitine  \n",
       "Didanosine;Gemcitabine                    Gemcitabine  \n",
       "Trifluridine;Gemcitabine                  Gemcitabine  \n",
       "Methotrexate;Pyridoxal phosphate  Pyridoxal phosphate  \n",
       "Trifluridine;Methotrexate                Methotrexate  \n",
       "Didanosine;Pemetrexed                      Pemetrexed  \n",
       "Cyclacillin;Methotrexate                 Methotrexate  \n",
       "Azathioprine;Fluorouracil                Fluorouracil  \n",
       "Methotrexate;Mercaptopurine            Mercaptopurine  \n",
       "Methotrexate;Azathioprine                Azathioprine  \n",
       "Mercaptopurine;Fluorouracil              Fluorouracil  \n",
       "Mercaptopurine;Gemcitabine                Gemcitabine  \n",
       "Cladribine;Acyclovir                        Acyclovir  \n",
       "Gemcitabine;Aminohippuric acid     Aminohippuric acid  \n",
       "Gemcitabine;Ampicillin                     Ampicillin  \n",
       "Gemcitabine;Fluorouracil                 Fluorouracil  "
      ]
     },
     "execution_count": 463,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 464,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(47, 6)"
      ]
     },
     "execution_count": 464,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# One drug for target pair\n",
    "dko_one_drug = df_uniques.loc[df_uniques.Drugs1==df_uniques.Drugs2,:]\n",
    "#dko_one_drug.to_csv('Drug_Repurposing_Results_/DKO_Drugs_OneDrug.csv')\n",
    "dko_one_drug.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Gemcitabine</th>\n",
       "      <td>{CMPK1;SLC29A2, TYMS;SLC29A2, SLC29A2;SLC29A1}</td>\n",
       "      <td>1.666667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Gemcitabine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trifluridine;Trifluridine</th>\n",
       "      <td>{TYMS;TYMP, TYMS;SLC29A2, SLC29A2;SLC29A1}</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Trifluridine</td>\n",
       "      <td>Trifluridine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tegafur-uracil;Tegafur-uracil</th>\n",
       "      <td>{TYMS;SLC29A2, SLC29A2;SLC29A1}</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Tegafur-uracil</td>\n",
       "      <td>Tegafur-uracil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercaptopurine;Mercaptopurine</th>\n",
       "      <td>{PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Valaciclovir;Valaciclovir</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>Valaciclovir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moexipril;Moexipril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Moexipril</td>\n",
       "      <td>Moexipril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nateglinide;Nateglinide</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Nateglinide</td>\n",
       "      <td>Nateglinide</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oxacillin;Oxacillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Oxacillin</td>\n",
       "      <td>Oxacillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perindopril;Perindopril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Perindopril</td>\n",
       "      <td>Perindopril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zalcitabine;Zalcitabine</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Zalcitabine</td>\n",
       "      <td>Zalcitabine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lisinopril;Lisinopril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lisinopril</td>\n",
       "      <td>Lisinopril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Valganciclovir;Valganciclovir</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Valganciclovir</td>\n",
       "      <td>Valganciclovir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spirapril;Spirapril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Spirapril</td>\n",
       "      <td>Spirapril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tolbutamide;Tolbutamide</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Tolbutamide</td>\n",
       "      <td>Tolbutamide</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trandolapril;Trandolapril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Trandolapril</td>\n",
       "      <td>Trandolapril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ubenimex;Ubenimex</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ubenimex</td>\n",
       "      <td>Ubenimex</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ramipril;Ramipril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ramipril</td>\n",
       "      <td>Ramipril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quinapril;Quinapril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Quinapril</td>\n",
       "      <td>Quinapril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefepime;Cefepime</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefepime</td>\n",
       "      <td>Cefepime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefixime;Cefixime</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefixime</td>\n",
       "      <td>Cefixime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefalotin;Cefalotin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefalotin</td>\n",
       "      <td>Cefalotin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefdinir;Cefdinir</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefdinir</td>\n",
       "      <td>Cefdinir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Ceftazidime</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Ceftazidime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftriaxone;Ceftriaxone</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftriaxone</td>\n",
       "      <td>Ceftriaxone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Ceftibuten</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Ceftibuten</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefmetazole;Cefmetazole</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefmetazole</td>\n",
       "      <td>Cefmetazole</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefradine;Cefradine</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefradine</td>\n",
       "      <td>Cefradine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefotaxime;Cefotaxime</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefotaxime</td>\n",
       "      <td>Cefotaxime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Amoxicillin;Amoxicillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Amoxicillin</td>\n",
       "      <td>Amoxicillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aminolevulinic acid;Aminolevulinic acid</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Aminolevulinic acid</td>\n",
       "      <td>Aminolevulinic acid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefaclor;Cefaclor</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefaclor</td>\n",
       "      <td>Cefaclor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benzylpenicillin;Benzylpenicillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Benzylpenicillin</td>\n",
       "      <td>Benzylpenicillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capecitabine;Capecitabine</th>\n",
       "      <td>{TYMS;TYMP}</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Capecitabine</td>\n",
       "      <td>Capecitabine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ampicillin;Ampicillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ampicillin</td>\n",
       "      <td>Ampicillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benazepril;Benazepril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Benazepril</td>\n",
       "      <td>Benazepril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fluorouracil;Fluorouracil</th>\n",
       "      <td>{TYMS;TYMP}</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Fluorouracil</td>\n",
       "      <td>Fluorouracil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fosinopril;Fosinopril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Fosinopril</td>\n",
       "      <td>Fosinopril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Didanosine;Didanosine</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Didanosine</td>\n",
       "      <td>Didanosine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Floxuridine;Floxuridine</th>\n",
       "      <td>{TYMS;TYMP}</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Floxuridine</td>\n",
       "      <td>Floxuridine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glyburide;Glyburide</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Glyburide</td>\n",
       "      <td>Glyburide</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chlorpropamide;Chlorpropamide</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Chlorpropamide</td>\n",
       "      <td>Chlorpropamide</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cilazapril;Cilazapril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cilazapril</td>\n",
       "      <td>Cilazapril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cephalexin;Cephalexin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cephalexin</td>\n",
       "      <td>Cephalexin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefuroxime;Cefuroxime</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cefuroxime</td>\n",
       "      <td>Cefuroxime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dicloxacillin;Dicloxacillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Dicloxacillin</td>\n",
       "      <td>Dicloxacillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cloxacillin;Cloxacillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cloxacillin</td>\n",
       "      <td>Cloxacillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyclacillin;Cyclacillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cyclacillin</td>\n",
       "      <td>Cyclacillin</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                              Gene_Pair  \\\n",
       "Drug_Pair                                                                                 \n",
       "Gemcitabine;Gemcitabine                  {CMPK1;SLC29A2, TYMS;SLC29A2, SLC29A2;SLC29A1}   \n",
       "Trifluridine;Trifluridine                    {TYMS;TYMP, TYMS;SLC29A2, SLC29A2;SLC29A1}   \n",
       "Tegafur-uracil;Tegafur-uracil                           {TYMS;SLC29A2, SLC29A2;SLC29A1}   \n",
       "Mercaptopurine;Mercaptopurine                             {PPAT;HPRT1, SLC29A2;SLC29A1}   \n",
       "Valaciclovir;Valaciclovir                                             {SLC15A2;SLC15A1}   \n",
       "Moexipril;Moexipril                                                   {SLC15A2;SLC15A1}   \n",
       "Nateglinide;Nateglinide                                               {SLC15A2;SLC15A1}   \n",
       "Oxacillin;Oxacillin                                                   {SLC15A2;SLC15A1}   \n",
       "Perindopril;Perindopril                                               {SLC15A2;SLC15A1}   \n",
       "Zalcitabine;Zalcitabine                                               {SLC29A2;SLC29A1}   \n",
       "Lisinopril;Lisinopril                                                 {SLC15A2;SLC15A1}   \n",
       "Valganciclovir;Valganciclovir                                         {SLC15A2;SLC15A1}   \n",
       "Spirapril;Spirapril                                                   {SLC15A2;SLC15A1}   \n",
       "Tolbutamide;Tolbutamide                                               {SLC15A2;SLC15A1}   \n",
       "Trandolapril;Trandolapril                                             {SLC15A2;SLC15A1}   \n",
       "Ubenimex;Ubenimex                                                     {SLC15A2;SLC15A1}   \n",
       "Ramipril;Ramipril                                                     {SLC15A2;SLC15A1}   \n",
       "Quinapril;Quinapril                                                   {SLC15A2;SLC15A1}   \n",
       "Cefepime;Cefepime                                                     {SLC15A2;SLC15A1}   \n",
       "Cefixime;Cefixime                                                     {SLC15A2;SLC15A1}   \n",
       "Cefalotin;Cefalotin                                                   {SLC15A2;SLC15A1}   \n",
       "Cefdinir;Cefdinir                                                     {SLC15A2;SLC15A1}   \n",
       "Ceftazidime;Ceftazidime                                               {SLC15A2;SLC15A1}   \n",
       "Ceftriaxone;Ceftriaxone                                               {SLC15A2;SLC15A1}   \n",
       "Ceftibuten;Ceftibuten                                                 {SLC15A2;SLC15A1}   \n",
       "Cefmetazole;Cefmetazole                                               {SLC15A2;SLC15A1}   \n",
       "Cefradine;Cefradine                                                   {SLC15A2;SLC15A1}   \n",
       "Cefotaxime;Cefotaxime                                                 {SLC15A2;SLC15A1}   \n",
       "Amoxicillin;Amoxicillin                                               {SLC15A2;SLC15A1}   \n",
       "Aminolevulinic acid;Aminolevulinic acid                               {SLC15A2;SLC15A1}   \n",
       "Cefaclor;Cefaclor                                                     {SLC15A2;SLC15A1}   \n",
       "Benzylpenicillin;Benzylpenicillin                                     {SLC15A2;SLC15A1}   \n",
       "Capecitabine;Capecitabine                                                   {TYMS;TYMP}   \n",
       "Ampicillin;Ampicillin                                                 {SLC15A2;SLC15A1}   \n",
       "Benazepril;Benazepril                                                 {SLC15A2;SLC15A1}   \n",
       "Fluorouracil;Fluorouracil                                                   {TYMS;TYMP}   \n",
       "Fosinopril;Fosinopril                                                 {SLC15A2;SLC15A1}   \n",
       "Didanosine;Didanosine                                                 {SLC29A2;SLC29A1}   \n",
       "Floxuridine;Floxuridine                                                     {TYMS;TYMP}   \n",
       "Glyburide;Glyburide                                                   {SLC15A2;SLC15A1}   \n",
       "Chlorpropamide;Chlorpropamide                                         {SLC15A2;SLC15A1}   \n",
       "Cilazapril;Cilazapril                                                 {SLC15A2;SLC15A1}   \n",
       "Cephalexin;Cephalexin                                                 {SLC15A2;SLC15A1}   \n",
       "Cefuroxime;Cefuroxime                                                 {SLC15A2;SLC15A1}   \n",
       "Dicloxacillin;Dicloxacillin                                           {SLC15A2;SLC15A1}   \n",
       "Cloxacillin;Cloxacillin                                               {SLC15A2;SLC15A1}   \n",
       "Cyclacillin;Cyclacillin                                               {SLC15A2;SLC15A1}   \n",
       "\n",
       "                                         Phenotype_Essentiality  \\\n",
       "Drug_Pair                                                         \n",
       "Gemcitabine;Gemcitabine                                1.666667   \n",
       "Trifluridine;Trifluridine                              1.333333   \n",
       "Tegafur-uracil;Tegafur-uracil                          1.500000   \n",
       "Mercaptopurine;Mercaptopurine                          3.500000   \n",
       "Valaciclovir;Valaciclovir                             13.000000   \n",
       "Moexipril;Moexipril                                   13.000000   \n",
       "Nateglinide;Nateglinide                               13.000000   \n",
       "Oxacillin;Oxacillin                                   13.000000   \n",
       "Perindopril;Perindopril                               13.000000   \n",
       "Zalcitabine;Zalcitabine                                2.000000   \n",
       "Lisinopril;Lisinopril                                 13.000000   \n",
       "Valganciclovir;Valganciclovir                         13.000000   \n",
       "Spirapril;Spirapril                                   13.000000   \n",
       "Tolbutamide;Tolbutamide                               13.000000   \n",
       "Trandolapril;Trandolapril                             13.000000   \n",
       "Ubenimex;Ubenimex                                     13.000000   \n",
       "Ramipril;Ramipril                                     13.000000   \n",
       "Quinapril;Quinapril                                   13.000000   \n",
       "Cefepime;Cefepime                                     13.000000   \n",
       "Cefixime;Cefixime                                     13.000000   \n",
       "Cefalotin;Cefalotin                                   13.000000   \n",
       "Cefdinir;Cefdinir                                     13.000000   \n",
       "Ceftazidime;Ceftazidime                               13.000000   \n",
       "Ceftriaxone;Ceftriaxone                               13.000000   \n",
       "Ceftibuten;Ceftibuten                                 13.000000   \n",
       "Cefmetazole;Cefmetazole                               13.000000   \n",
       "Cefradine;Cefradine                                   13.000000   \n",
       "Cefotaxime;Cefotaxime                                 13.000000   \n",
       "Amoxicillin;Amoxicillin                               13.000000   \n",
       "Aminolevulinic acid;Aminolevulinic acid               13.000000   \n",
       "Cefaclor;Cefaclor                                     13.000000   \n",
       "Benzylpenicillin;Benzylpenicillin                     13.000000   \n",
       "Capecitabine;Capecitabine                              1.000000   \n",
       "Ampicillin;Ampicillin                                 13.000000   \n",
       "Benazepril;Benazepril                                 13.000000   \n",
       "Fluorouracil;Fluorouracil                              1.000000   \n",
       "Fosinopril;Fosinopril                                 13.000000   \n",
       "Didanosine;Didanosine                                  2.000000   \n",
       "Floxuridine;Floxuridine                                1.000000   \n",
       "Glyburide;Glyburide                                   13.000000   \n",
       "Chlorpropamide;Chlorpropamide                         13.000000   \n",
       "Cilazapril;Cilazapril                                 13.000000   \n",
       "Cephalexin;Cephalexin                                 13.000000   \n",
       "Cefuroxime;Cefuroxime                                 13.000000   \n",
       "Dicloxacillin;Dicloxacillin                           13.000000   \n",
       "Cloxacillin;Cloxacillin                               13.000000   \n",
       "Cyclacillin;Cyclacillin                               13.000000   \n",
       "\n",
       "                                         Phenotype_Safety  Number_Genes  \\\n",
       "Drug_Pair                                                                 \n",
       "Gemcitabine;Gemcitabine                               1.0             3   \n",
       "Trifluridine;Trifluridine                             1.0             3   \n",
       "Tegafur-uracil;Tegafur-uracil                         1.0             2   \n",
       "Mercaptopurine;Mercaptopurine                         1.0             2   \n",
       "Valaciclovir;Valaciclovir                             0.0             1   \n",
       "Moexipril;Moexipril                                   0.0             1   \n",
       "Nateglinide;Nateglinide                               0.0             1   \n",
       "Oxacillin;Oxacillin                                   0.0             1   \n",
       "Perindopril;Perindopril                               0.0             1   \n",
       "Zalcitabine;Zalcitabine                               2.0             1   \n",
       "Lisinopril;Lisinopril                                 0.0             1   \n",
       "Valganciclovir;Valganciclovir                         0.0             1   \n",
       "Spirapril;Spirapril                                   0.0             1   \n",
       "Tolbutamide;Tolbutamide                               0.0             1   \n",
       "Trandolapril;Trandolapril                             0.0             1   \n",
       "Ubenimex;Ubenimex                                     0.0             1   \n",
       "Ramipril;Ramipril                                     0.0             1   \n",
       "Quinapril;Quinapril                                   0.0             1   \n",
       "Cefepime;Cefepime                                     0.0             1   \n",
       "Cefixime;Cefixime                                     0.0             1   \n",
       "Cefalotin;Cefalotin                                   0.0             1   \n",
       "Cefdinir;Cefdinir                                     0.0             1   \n",
       "Ceftazidime;Ceftazidime                               0.0             1   \n",
       "Ceftriaxone;Ceftriaxone                               0.0             1   \n",
       "Ceftibuten;Ceftibuten                                 0.0             1   \n",
       "Cefmetazole;Cefmetazole                               0.0             1   \n",
       "Cefradine;Cefradine                                   0.0             1   \n",
       "Cefotaxime;Cefotaxime                                 0.0             1   \n",
       "Amoxicillin;Amoxicillin                               0.0             1   \n",
       "Aminolevulinic acid;Aminolevulinic acid               0.0             1   \n",
       "Cefaclor;Cefaclor                                     0.0             1   \n",
       "Benzylpenicillin;Benzylpenicillin                     0.0             1   \n",
       "Capecitabine;Capecitabine                             1.0             1   \n",
       "Ampicillin;Ampicillin                                 0.0             1   \n",
       "Benazepril;Benazepril                                 0.0             1   \n",
       "Fluorouracil;Fluorouracil                             1.0             1   \n",
       "Fosinopril;Fosinopril                                 0.0             1   \n",
       "Didanosine;Didanosine                                 2.0             1   \n",
       "Floxuridine;Floxuridine                               1.0             1   \n",
       "Glyburide;Glyburide                                   0.0             1   \n",
       "Chlorpropamide;Chlorpropamide                         0.0             1   \n",
       "Cilazapril;Cilazapril                                 0.0             1   \n",
       "Cephalexin;Cephalexin                                 0.0             1   \n",
       "Cefuroxime;Cefuroxime                                 0.0             1   \n",
       "Dicloxacillin;Dicloxacillin                           0.0             1   \n",
       "Cloxacillin;Cloxacillin                               0.0             1   \n",
       "Cyclacillin;Cyclacillin                               0.0             1   \n",
       "\n",
       "                                                      Drugs1  \\\n",
       "Drug_Pair                                                      \n",
       "Gemcitabine;Gemcitabine                          Gemcitabine   \n",
       "Trifluridine;Trifluridine                       Trifluridine   \n",
       "Tegafur-uracil;Tegafur-uracil                 Tegafur-uracil   \n",
       "Mercaptopurine;Mercaptopurine                 Mercaptopurine   \n",
       "Valaciclovir;Valaciclovir                       Valaciclovir   \n",
       "Moexipril;Moexipril                                Moexipril   \n",
       "Nateglinide;Nateglinide                          Nateglinide   \n",
       "Oxacillin;Oxacillin                                Oxacillin   \n",
       "Perindopril;Perindopril                          Perindopril   \n",
       "Zalcitabine;Zalcitabine                          Zalcitabine   \n",
       "Lisinopril;Lisinopril                             Lisinopril   \n",
       "Valganciclovir;Valganciclovir                 Valganciclovir   \n",
       "Spirapril;Spirapril                                Spirapril   \n",
       "Tolbutamide;Tolbutamide                          Tolbutamide   \n",
       "Trandolapril;Trandolapril                       Trandolapril   \n",
       "Ubenimex;Ubenimex                                   Ubenimex   \n",
       "Ramipril;Ramipril                                   Ramipril   \n",
       "Quinapril;Quinapril                                Quinapril   \n",
       "Cefepime;Cefepime                                   Cefepime   \n",
       "Cefixime;Cefixime                                   Cefixime   \n",
       "Cefalotin;Cefalotin                                Cefalotin   \n",
       "Cefdinir;Cefdinir                                   Cefdinir   \n",
       "Ceftazidime;Ceftazidime                          Ceftazidime   \n",
       "Ceftriaxone;Ceftriaxone                          Ceftriaxone   \n",
       "Ceftibuten;Ceftibuten                             Ceftibuten   \n",
       "Cefmetazole;Cefmetazole                          Cefmetazole   \n",
       "Cefradine;Cefradine                                Cefradine   \n",
       "Cefotaxime;Cefotaxime                             Cefotaxime   \n",
       "Amoxicillin;Amoxicillin                          Amoxicillin   \n",
       "Aminolevulinic acid;Aminolevulinic acid  Aminolevulinic acid   \n",
       "Cefaclor;Cefaclor                                   Cefaclor   \n",
       "Benzylpenicillin;Benzylpenicillin           Benzylpenicillin   \n",
       "Capecitabine;Capecitabine                       Capecitabine   \n",
       "Ampicillin;Ampicillin                             Ampicillin   \n",
       "Benazepril;Benazepril                             Benazepril   \n",
       "Fluorouracil;Fluorouracil                       Fluorouracil   \n",
       "Fosinopril;Fosinopril                             Fosinopril   \n",
       "Didanosine;Didanosine                             Didanosine   \n",
       "Floxuridine;Floxuridine                          Floxuridine   \n",
       "Glyburide;Glyburide                                Glyburide   \n",
       "Chlorpropamide;Chlorpropamide                 Chlorpropamide   \n",
       "Cilazapril;Cilazapril                             Cilazapril   \n",
       "Cephalexin;Cephalexin                             Cephalexin   \n",
       "Cefuroxime;Cefuroxime                             Cefuroxime   \n",
       "Dicloxacillin;Dicloxacillin                    Dicloxacillin   \n",
       "Cloxacillin;Cloxacillin                          Cloxacillin   \n",
       "Cyclacillin;Cyclacillin                          Cyclacillin   \n",
       "\n",
       "                                                      Drugs2  \n",
       "Drug_Pair                                                     \n",
       "Gemcitabine;Gemcitabine                          Gemcitabine  \n",
       "Trifluridine;Trifluridine                       Trifluridine  \n",
       "Tegafur-uracil;Tegafur-uracil                 Tegafur-uracil  \n",
       "Mercaptopurine;Mercaptopurine                 Mercaptopurine  \n",
       "Valaciclovir;Valaciclovir                       Valaciclovir  \n",
       "Moexipril;Moexipril                                Moexipril  \n",
       "Nateglinide;Nateglinide                          Nateglinide  \n",
       "Oxacillin;Oxacillin                                Oxacillin  \n",
       "Perindopril;Perindopril                          Perindopril  \n",
       "Zalcitabine;Zalcitabine                          Zalcitabine  \n",
       "Lisinopril;Lisinopril                             Lisinopril  \n",
       "Valganciclovir;Valganciclovir                 Valganciclovir  \n",
       "Spirapril;Spirapril                                Spirapril  \n",
       "Tolbutamide;Tolbutamide                          Tolbutamide  \n",
       "Trandolapril;Trandolapril                       Trandolapril  \n",
       "Ubenimex;Ubenimex                                   Ubenimex  \n",
       "Ramipril;Ramipril                                   Ramipril  \n",
       "Quinapril;Quinapril                                Quinapril  \n",
       "Cefepime;Cefepime                                   Cefepime  \n",
       "Cefixime;Cefixime                                   Cefixime  \n",
       "Cefalotin;Cefalotin                                Cefalotin  \n",
       "Cefdinir;Cefdinir                                   Cefdinir  \n",
       "Ceftazidime;Ceftazidime                          Ceftazidime  \n",
       "Ceftriaxone;Ceftriaxone                          Ceftriaxone  \n",
       "Ceftibuten;Ceftibuten                             Ceftibuten  \n",
       "Cefmetazole;Cefmetazole                          Cefmetazole  \n",
       "Cefradine;Cefradine                                Cefradine  \n",
       "Cefotaxime;Cefotaxime                             Cefotaxime  \n",
       "Amoxicillin;Amoxicillin                          Amoxicillin  \n",
       "Aminolevulinic acid;Aminolevulinic acid  Aminolevulinic acid  \n",
       "Cefaclor;Cefaclor                                   Cefaclor  \n",
       "Benzylpenicillin;Benzylpenicillin           Benzylpenicillin  \n",
       "Capecitabine;Capecitabine                       Capecitabine  \n",
       "Ampicillin;Ampicillin                             Ampicillin  \n",
       "Benazepril;Benazepril                             Benazepril  \n",
       "Fluorouracil;Fluorouracil                       Fluorouracil  \n",
       "Fosinopril;Fosinopril                             Fosinopril  \n",
       "Didanosine;Didanosine                             Didanosine  \n",
       "Floxuridine;Floxuridine                          Floxuridine  \n",
       "Glyburide;Glyburide                                Glyburide  \n",
       "Chlorpropamide;Chlorpropamide                 Chlorpropamide  \n",
       "Cilazapril;Cilazapril                             Cilazapril  \n",
       "Cephalexin;Cephalexin                             Cephalexin  \n",
       "Cefuroxime;Cefuroxime                             Cefuroxime  \n",
       "Dicloxacillin;Dicloxacillin                    Dicloxacillin  \n",
       "Cloxacillin;Cloxacillin                          Cloxacillin  \n",
       "Cyclacillin;Cyclacillin                          Cyclacillin  "
      ]
     },
     "execution_count": 465,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_one_drug"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 466,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa6b2e16b90>"
      ]
     },
     "execution_count": 466,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(df_uniques['Phenotype_Essentiality'],df_uniques['Number_Genes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 467,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x, y = df_uniques['Phenotype_Essentiality'],df_uniques['Number_Genes']\n",
    "with sns.axes_style(\"white\"):\n",
    "    sns.jointplot(x=x, y=y, kind=\"hex\", color=\"k\");\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 468,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_uniques['Duplicated_drugs'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 469,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_uniques.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 470,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_uniques.Phenotype_Essentiality.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 471,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_uniques.Number_Genes.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 472,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Amoxicillin;Chlorpropamide</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Amoxicillin</td>\n",
       "      <td>Chlorpropamide</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Captopril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Captopril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Cefotaxime</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Cefotaxime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Cefradine</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Cefradine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Ceftazidime</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Ceftazidime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Ceftriaxone</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Ceftriaxone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Cyclacillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Cyclacillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Dexibuprofen</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Dexibuprofen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Enalapril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Enalapril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftazidime;Fluvastatin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Fluvastatin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Benazepril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Benazepril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Benzoic acid</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Benzoic acid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Captopril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Captopril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Methotrexate</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Methotrexate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Midodrine</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Midodrine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Moexipril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Moexipril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Oseltamivir</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Oseltamivir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Oxacillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Oxacillin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Perindopril</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Perindopril</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ceftibuten;Phenoxymethylpenicillin</th>\n",
       "      <td>{SLC15A2;SLC15A1}</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Ceftibuten</td>\n",
       "      <td>Phenoxymethylpenicillin</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Gene_Pair  Phenotype_Essentiality  \\\n",
       "Drug_Pair                                                                       \n",
       "Amoxicillin;Chlorpropamide          {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Captopril               {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Cefotaxime              {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Cefradine               {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Ceftazidime             {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Ceftriaxone             {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Cyclacillin             {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Dexibuprofen            {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Enalapril               {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftazidime;Fluvastatin             {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Benazepril               {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Benzoic acid             {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Captopril                {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Methotrexate             {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Midodrine                {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Moexipril                {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Oseltamivir              {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Oxacillin                {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Perindopril              {SLC15A2;SLC15A1}                    13.0   \n",
       "Ceftibuten;Phenoxymethylpenicillin  {SLC15A2;SLC15A1}                    13.0   \n",
       "\n",
       "                                    Phenotype_Safety  Number_Genes  \\\n",
       "Drug_Pair                                                            \n",
       "Amoxicillin;Chlorpropamide                       0.0             1   \n",
       "Ceftazidime;Captopril                            0.0             1   \n",
       "Ceftazidime;Cefotaxime                           0.0             1   \n",
       "Ceftazidime;Cefradine                            0.0             1   \n",
       "Ceftazidime;Ceftazidime                          0.0             1   \n",
       "Ceftazidime;Ceftriaxone                          0.0             1   \n",
       "Ceftazidime;Cyclacillin                          0.0             1   \n",
       "Ceftazidime;Dexibuprofen                         0.0             1   \n",
       "Ceftazidime;Enalapril                            0.0             1   \n",
       "Ceftazidime;Fluvastatin                          0.0             1   \n",
       "Ceftibuten;Benazepril                            0.0             1   \n",
       "Ceftibuten;Benzoic acid                          0.0             1   \n",
       "Ceftibuten;Captopril                             0.0             1   \n",
       "Ceftibuten;Methotrexate                          0.0             1   \n",
       "Ceftibuten;Midodrine                             0.0             1   \n",
       "Ceftibuten;Moexipril                             0.0             1   \n",
       "Ceftibuten;Oseltamivir                           0.0             1   \n",
       "Ceftibuten;Oxacillin                             0.0             1   \n",
       "Ceftibuten;Perindopril                           0.0             1   \n",
       "Ceftibuten;Phenoxymethylpenicillin               0.0             1   \n",
       "\n",
       "                                         Drugs1                   Drugs2  \n",
       "Drug_Pair                                                                 \n",
       "Amoxicillin;Chlorpropamide          Amoxicillin           Chlorpropamide  \n",
       "Ceftazidime;Captopril               Ceftazidime                Captopril  \n",
       "Ceftazidime;Cefotaxime              Ceftazidime               Cefotaxime  \n",
       "Ceftazidime;Cefradine               Ceftazidime                Cefradine  \n",
       "Ceftazidime;Ceftazidime             Ceftazidime              Ceftazidime  \n",
       "Ceftazidime;Ceftriaxone             Ceftazidime              Ceftriaxone  \n",
       "Ceftazidime;Cyclacillin             Ceftazidime              Cyclacillin  \n",
       "Ceftazidime;Dexibuprofen            Ceftazidime             Dexibuprofen  \n",
       "Ceftazidime;Enalapril               Ceftazidime                Enalapril  \n",
       "Ceftazidime;Fluvastatin             Ceftazidime              Fluvastatin  \n",
       "Ceftibuten;Benazepril                Ceftibuten               Benazepril  \n",
       "Ceftibuten;Benzoic acid              Ceftibuten             Benzoic acid  \n",
       "Ceftibuten;Captopril                 Ceftibuten                Captopril  \n",
       "Ceftibuten;Methotrexate              Ceftibuten             Methotrexate  \n",
       "Ceftibuten;Midodrine                 Ceftibuten                Midodrine  \n",
       "Ceftibuten;Moexipril                 Ceftibuten                Moexipril  \n",
       "Ceftibuten;Oseltamivir               Ceftibuten              Oseltamivir  \n",
       "Ceftibuten;Oxacillin                 Ceftibuten                Oxacillin  \n",
       "Ceftibuten;Perindopril               Ceftibuten              Perindopril  \n",
       "Ceftibuten;Phenoxymethylpenicillin   Ceftibuten  Phenoxymethylpenicillin  "
      ]
     },
     "execution_count": 472,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_uniques= df_uniques.sort_values(by=['Phenotype_Essentiality'],ascending=False)\n",
    "\n",
    "df_uniques.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 473,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa6b43bc510>"
      ]
     },
     "execution_count": 473,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_uniques.Phenotype_Essentiality.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 474,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa6b47c2990>"
      ]
     },
     "execution_count": 474,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_uniques.Phenotype_Safety.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 475,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa6b4a6e610>"
      ]
     },
     "execution_count": 475,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_uniques.Number_Genes.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 476,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filtering by essentiality and safety\n",
    "#df_uniques = df_uniques.loc[df_uniques.Phenotype_Essentiality>1,:]\n",
    "#df_uniques = df_uniques.loc[df_uniques.Phenotype_Safety>=1,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 477,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filtering by essentiality and safety and number of gene-pairs\n",
    "\n",
    "import functools\n",
    "df_reduced = df_uniques.loc[functools.reduce(np.logical_and,(df_uniques.Phenotype_Essentiality>1,df_uniques.Number_Genes>1,df_uniques.Phenotype_Safety>1)),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 478,
   "metadata": {},
   "outputs": [],
   "source": [
    "idx = np.logical_or(df_uniques.Number_Genes>1,df_uniques.Phenotype_Safety>1)\n",
    "\n",
    "df_reduced2 = df_uniques.loc[idx,:]\n",
    "df_reduced2 = df_reduced2.loc[df_reduced2.Phenotype_Essentiality>2,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 479,
   "metadata": {},
   "outputs": [],
   "source": [
    "idx = np.logical_and(df_uniques.Phenotype_Essentiality>=2,df_uniques.Phenotype_Safety>1)\n",
    "df_reduced = df_uniques.loc[idx,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 480,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(105, 6)"
      ]
     },
     "execution_count": 480,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 481,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(52, 6)"
      ]
     },
     "execution_count": 481,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa6b5607fd0>"
      ]
     },
     "execution_count": 482,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_reduced2.Phenotype_Essentiality.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 483,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Taurocholic acid;Phosphatidyl serine</th>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Taurocholic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nateglinide;Phosphatidyl serine</th>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Nateglinide</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lamivudine;Phosphatidyl serine</th>\n",
       "      <td>{CMPK1;PTDSS1}</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lamivudine</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quercetin;Phosphatidyl serine</th>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Quercetin</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Probenecid;Phosphatidyl serine</th>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Probenecid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Cannabidiol</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Cannabidiol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Fostamatinib</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Fostamatinib</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Phosphatidyl serine</th>\n",
       "      <td>{SLC29A2;PTDSS1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Didanosine</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Didanosine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Cytarabine</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Cytarabine</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Gene_Pair  \\\n",
       "Drug_Pair                                                 \n",
       "Taurocholic acid;Phosphatidyl serine   {SLC16A1;PTDSS1}   \n",
       "Nateglinide;Phosphatidyl serine        {SLC16A1;PTDSS1}   \n",
       "Lamivudine;Phosphatidyl serine           {CMPK1;PTDSS1}   \n",
       "Quercetin;Phosphatidyl serine          {SLC16A1;PTDSS1}   \n",
       "Probenecid;Phosphatidyl serine         {SLC16A1;PTDSS1}   \n",
       "...                                                 ...   \n",
       "Azathioprine;Cannabidiol              {SLC29A2;SLC29A1}   \n",
       "Azathioprine;Fostamatinib             {SLC29A2;SLC29A1}   \n",
       "Azathioprine;Phosphatidyl serine       {SLC29A2;PTDSS1}   \n",
       "Azathioprine;Didanosine               {SLC29A2;SLC29A1}   \n",
       "Azathioprine;Cytarabine               {SLC29A2;SLC29A1}   \n",
       "\n",
       "                                      Phenotype_Essentiality  \\\n",
       "Drug_Pair                                                      \n",
       "Taurocholic acid;Phosphatidyl serine                     3.0   \n",
       "Nateglinide;Phosphatidyl serine                          3.0   \n",
       "Lamivudine;Phosphatidyl serine                           3.0   \n",
       "Quercetin;Phosphatidyl serine                            3.0   \n",
       "Probenecid;Phosphatidyl serine                           3.0   \n",
       "...                                                      ...   \n",
       "Azathioprine;Cannabidiol                                 2.0   \n",
       "Azathioprine;Fostamatinib                                2.0   \n",
       "Azathioprine;Phosphatidyl serine                         2.0   \n",
       "Azathioprine;Didanosine                                  2.0   \n",
       "Azathioprine;Cytarabine                                  2.0   \n",
       "\n",
       "                                      Phenotype_Safety  Number_Genes  \\\n",
       "Drug_Pair                                                              \n",
       "Taurocholic acid;Phosphatidyl serine               3.0             1   \n",
       "Nateglinide;Phosphatidyl serine                    3.0             1   \n",
       "Lamivudine;Phosphatidyl serine                     2.0             1   \n",
       "Quercetin;Phosphatidyl serine                      3.0             1   \n",
       "Probenecid;Phosphatidyl serine                     3.0             1   \n",
       "...                                                ...           ...   \n",
       "Azathioprine;Cannabidiol                           2.0             1   \n",
       "Azathioprine;Fostamatinib                          2.0             1   \n",
       "Azathioprine;Phosphatidyl serine                   2.0             1   \n",
       "Azathioprine;Didanosine                            2.0             1   \n",
       "Azathioprine;Cytarabine                            2.0             1   \n",
       "\n",
       "                                                Drugs1               Drugs2  \n",
       "Drug_Pair                                                                    \n",
       "Taurocholic acid;Phosphatidyl serine  Taurocholic acid  Phosphatidyl serine  \n",
       "Nateglinide;Phosphatidyl serine            Nateglinide  Phosphatidyl serine  \n",
       "Lamivudine;Phosphatidyl serine              Lamivudine  Phosphatidyl serine  \n",
       "Quercetin;Phosphatidyl serine                Quercetin  Phosphatidyl serine  \n",
       "Probenecid;Phosphatidyl serine              Probenecid  Phosphatidyl serine  \n",
       "...                                                ...                  ...  \n",
       "Azathioprine;Cannabidiol                  Azathioprine          Cannabidiol  \n",
       "Azathioprine;Fostamatinib                 Azathioprine         Fostamatinib  \n",
       "Azathioprine;Phosphatidyl serine          Azathioprine  Phosphatidyl serine  \n",
       "Azathioprine;Didanosine                   Azathioprine           Didanosine  \n",
       "Azathioprine;Cytarabine                   Azathioprine           Cytarabine  \n",
       "\n",
       "[105 rows x 6 columns]"
      ]
     },
     "execution_count": 483,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 484,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Phosphatidyl serine</th>\n",
       "      <td>{SLC29A2;PTDSS1, CMPK1;PTDSS1}</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Taurocholic acid;Phosphatidyl serine</th>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Taurocholic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Fostamatinib</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Fostamatinib</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Didanosine;Ribavirin</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Didanosine</td>\n",
       "      <td>Ribavirin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Didanosine;Uridine</th>\n",
       "      <td>{SLC29A2;SLC29A1}</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Didanosine</td>\n",
       "      <td>Uridine</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                           Gene_Pair  \\\n",
       "Drug_Pair                                                              \n",
       "Gemcitabine;Phosphatidyl serine       {SLC29A2;PTDSS1, CMPK1;PTDSS1}   \n",
       "Taurocholic acid;Phosphatidyl serine                {SLC16A1;PTDSS1}   \n",
       "Gemcitabine;Fostamatinib                           {SLC29A2;SLC29A1}   \n",
       "Didanosine;Ribavirin                               {SLC29A2;SLC29A1}   \n",
       "Didanosine;Uridine                                 {SLC29A2;SLC29A1}   \n",
       "\n",
       "                                      Phenotype_Essentiality  \\\n",
       "Drug_Pair                                                      \n",
       "Gemcitabine;Phosphatidyl serine                          2.5   \n",
       "Taurocholic acid;Phosphatidyl serine                     3.0   \n",
       "Gemcitabine;Fostamatinib                                 2.0   \n",
       "Didanosine;Ribavirin                                     2.0   \n",
       "Didanosine;Uridine                                       2.0   \n",
       "\n",
       "                                      Phenotype_Safety  Number_Genes  \\\n",
       "Drug_Pair                                                              \n",
       "Gemcitabine;Phosphatidyl serine                    2.0             2   \n",
       "Taurocholic acid;Phosphatidyl serine               3.0             1   \n",
       "Gemcitabine;Fostamatinib                           2.0             1   \n",
       "Didanosine;Ribavirin                               2.0             1   \n",
       "Didanosine;Uridine                                 2.0             1   \n",
       "\n",
       "                                                Drugs1               Drugs2  \n",
       "Drug_Pair                                                                    \n",
       "Gemcitabine;Phosphatidyl serine            Gemcitabine  Phosphatidyl serine  \n",
       "Taurocholic acid;Phosphatidyl serine  Taurocholic acid  Phosphatidyl serine  \n",
       "Gemcitabine;Fostamatinib                   Gemcitabine         Fostamatinib  \n",
       "Didanosine;Ribavirin                        Didanosine            Ribavirin  \n",
       "Didanosine;Uridine                          Didanosine              Uridine  "
      ]
     },
     "execution_count": 484,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced.sort_values(by=['Number_Genes'],ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 485,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Pemetrexed</th>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>5</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercaptopurine;Pemetrexed</th>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>5</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate;Mercaptopurine</th>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cefepime;Methotrexate</th>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Cefepime</td>\n",
       "      <td>Methotrexate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Fluorouracil</th>\n",
       "      <td>{TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                     Gene_Pair  \\\n",
       "Drug_Pair                                                                        \n",
       "Azathioprine;Pemetrexed      {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...   \n",
       "Mercaptopurine;Pemetrexed    {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...   \n",
       "Methotrexate;Mercaptopurine           {TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}   \n",
       "Cefepime;Methotrexate            {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}   \n",
       "Azathioprine;Fluorouracil          {TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}   \n",
       "\n",
       "                             Phenotype_Essentiality  Phenotype_Safety  \\\n",
       "Drug_Pair                                                               \n",
       "Azathioprine;Pemetrexed                    2.800000          0.400000   \n",
       "Mercaptopurine;Pemetrexed                  2.800000          0.400000   \n",
       "Methotrexate;Mercaptopurine                2.333333          0.000000   \n",
       "Cefepime;Methotrexate                      5.000000          0.666667   \n",
       "Azathioprine;Fluorouracil                  2.666667          0.666667   \n",
       "\n",
       "                             Number_Genes          Drugs1          Drugs2  \n",
       "Drug_Pair                                                                  \n",
       "Azathioprine;Pemetrexed                 5    Azathioprine      Pemetrexed  \n",
       "Mercaptopurine;Pemetrexed               5  Mercaptopurine      Pemetrexed  \n",
       "Methotrexate;Mercaptopurine             3    Methotrexate  Mercaptopurine  \n",
       "Cefepime;Methotrexate                   3        Cefepime    Methotrexate  \n",
       "Azathioprine;Fluorouracil               3    Azathioprine    Fluorouracil  "
      ]
     },
     "execution_count": 485,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced2.sort_values(by=['Number_Genes'],ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drug_Pair</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Azathioprine;Fluorouracil</th>\n",
       "      <td>{TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercaptopurine;Fluorouracil</th>\n",
       "      <td>{TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>3</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gemcitabine;Phosphatidyl serine</th>\n",
       "      <td>{SLC29A2;PTDSS1, CMPK1;PTDSS1}</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate;Azathioprine</th>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Azathioprine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Methotrexate;Mercaptopurine</th>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   Gene_Pair  \\\n",
       "Drug_Pair                                                                      \n",
       "Azathioprine;Fluorouracil        {TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}   \n",
       "Mercaptopurine;Fluorouracil      {TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}   \n",
       "Gemcitabine;Phosphatidyl serine               {SLC29A2;PTDSS1, CMPK1;PTDSS1}   \n",
       "Methotrexate;Azathioprine           {TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}   \n",
       "Methotrexate;Mercaptopurine         {TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}   \n",
       "\n",
       "                                 Phenotype_Essentiality  Phenotype_Safety  \\\n",
       "Drug_Pair                                                                   \n",
       "Azathioprine;Fluorouracil                      2.666667          0.666667   \n",
       "Mercaptopurine;Fluorouracil                    2.666667          0.666667   \n",
       "Gemcitabine;Phosphatidyl serine                2.500000          2.000000   \n",
       "Methotrexate;Azathioprine                      2.333333          0.000000   \n",
       "Methotrexate;Mercaptopurine                    2.333333          0.000000   \n",
       "\n",
       "                                 Number_Genes          Drugs1  \\\n",
       "Drug_Pair                                                       \n",
       "Azathioprine;Fluorouracil                   3    Azathioprine   \n",
       "Mercaptopurine;Fluorouracil                 3  Mercaptopurine   \n",
       "Gemcitabine;Phosphatidyl serine             2     Gemcitabine   \n",
       "Methotrexate;Azathioprine                   3    Methotrexate   \n",
       "Methotrexate;Mercaptopurine                 3    Methotrexate   \n",
       "\n",
       "                                              Drugs2  \n",
       "Drug_Pair                                             \n",
       "Azathioprine;Fluorouracil               Fluorouracil  \n",
       "Mercaptopurine;Fluorouracil             Fluorouracil  \n",
       "Gemcitabine;Phosphatidyl serine  Phosphatidyl serine  \n",
       "Methotrexate;Azathioprine               Azathioprine  \n",
       "Methotrexate;Mercaptopurine           Mercaptopurine  "
      ]
     },
     "execution_count": 486,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced2.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 487,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 488,
   "metadata": {},
   "outputs": [],
   "source": [
    "dko_one_drug  = dko_one_drug.loc[:,['Drugs1','Gene_Pair','Phenotype_Essentiality','Phenotype_Safety','Number_Genes']]\n",
    "dko_one_drug.columns = ['Drug','Gene_Pair','Phenotype_Essentiality','Phenotype_Safety','Number_Genes']\n",
    "dko_one_drug['Phenotype_Essentiality'] = dko_one_drug['Phenotype_Essentiality'].apply(lambda x: math.floor(x * 100)/100.0)\n",
    "dko_one_drug['Phenotype_Safety'] = dko_one_drug['Phenotype_Safety'].apply(lambda x: math.floor(x * 100)/100.0)\n",
    "\n",
    "dko_one_drug['Number_Genes']=dko_one_drug['Number_Genes'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 489,
   "metadata": {},
   "outputs": [],
   "source": [
    "dko_one_drug = dko_one_drug.sort_values(by=['Number_Genes','Phenotype_Essentiality'],ascending=False)\n",
    "dko_one_drug.reset_index(inplace=True,drop=True)\n",
    "dko_one_drug.to_csv('KO_data/DKO_Drugs_OneDrug.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 490,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_uniques.to_csv('KO_data/DKO_Drug_Repurposing_Unique.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 491,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_dko_drugs = df_reduced.index.tolist()\n",
    "all_dko_drugs = np.unique(np.concatenate([str(x).split(';') for x in all_dko_drugs]))\n",
    "dko_cor_1 = pd.DataFrame(columns =all_dko_drugs, index = all_dko_drugs )\n",
    "dko_cor_2 = pd.DataFrame(columns =all_dko_drugs, index = all_dko_drugs )\n",
    "dko_cor_3 = pd.DataFrame(columns =all_dko_drugs, index = all_dko_drugs )\n",
    "dko_cor_1 = dko_cor_1.fillna(0)\n",
    "for x in range(df_reduced.shape[0]):\n",
    "    drug1, drug2 = df_reduced.index[x].split(';')\n",
    "    dko_cor_1.loc[drug1,drug2] = df_reduced.iloc[x,1]\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 492,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37"
      ]
     },
     "execution_count": 492,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(all_dko_drugs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 493,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x799.2 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20,20))\n",
    "ax = sns.clustermap(dko_cor_1.astype('float'),cmap='Blues',\n",
    "                   col_cluster=True,\n",
    "                    row_cluster=True,\n",
    "                   #mask=False,\n",
    "                   #standard_scale=0,\n",
    "                   yticklabels=True,\n",
    "                   #square=True,\n",
    "                   figsize=(12,(.3*(len(dko_cor_1.index)))))#,col_cluster=False,row_cluster=False)heatmap(enrich_coverage_all.iloc[:,4:], annot=True, linewidths=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 494,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_reduced  = df_reduced2.loc[:,['Drugs1','Drugs2','Gene_Pair','Phenotype_Essentiality','Phenotype_Safety','Number_Genes']]\n",
    "df_reduced.reset_index(inplace=True,drop=True)\n",
    "df_reduced['Phenotype_Essentiality'] = df_reduced['Phenotype_Essentiality'].apply(lambda x: math.floor(x * 100)/100.0)\n",
    "df_reduced['Phenotype_Safety'] = df_reduced['Phenotype_Safety'].apply(lambda x: math.floor(x * 100)/100.0)\n",
    "df_reduced = df_reduced.sort_values(by=['Number_Genes','Phenotype_Essentiality'],ascending=False)\n",
    "\n",
    "df_reduced['Number_Genes']=df_reduced['Number_Genes'].astype('int')\n",
    "df_reduced.to_csv('KO_data/DKO_Drug_Repurposing_Reduced.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 495,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(52, 6)"
      ]
     },
     "execution_count": 495,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 496,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(47, 5)"
      ]
     },
     "execution_count": 496,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dko_one_drug.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 497,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Drugs1</th>\n",
       "      <th>Drugs2</th>\n",
       "      <th>Gene_Pair</th>\n",
       "      <th>Phenotype_Essentiality</th>\n",
       "      <th>Phenotype_Safety</th>\n",
       "      <th>Number_Genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.80</td>\n",
       "      <td>0.40</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "      <td>{HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...</td>\n",
       "      <td>2.80</td>\n",
       "      <td>0.40</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cladribine</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>{GUK1;PNP, RRM2;GUK1, RRM1;GUK1}</td>\n",
       "      <td>9.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cladribine</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>{GUK1;PNP, RRM2;GUK1, RRM1;GUK1}</td>\n",
       "      <td>9.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Cefradine</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Benzylpenicillin</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Cefalotin</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ampicillin</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ceftazidime</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cefdinir</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Cefepime</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cefixime</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Cyclacillin</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Cephalexin</td>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>{SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "      <td>{TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>2.66</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Fluorouracil</td>\n",
       "      <td>{TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>2.66</td>\n",
       "      <td>0.66</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>{TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Imexon</td>\n",
       "      <td>Valaciclovir</td>\n",
       "      <td>{RRM2;GUK1, RRM1;GUK1}</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Imexon</td>\n",
       "      <td>Acyclovir</td>\n",
       "      <td>{RRM2;GUK1, RRM1;GUK1}</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Tioguanine</td>\n",
       "      <td>Pemetrexed</td>\n",
       "      <td>{HPRT1;GART, ATIC;HPRT1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DB01632</td>\n",
       "      <td>Pemetrexed</td>\n",
       "      <td>{HPRT1;GART, ATIC;HPRT1}</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Azathioprine</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>{PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>3.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>Mercaptopurine</td>\n",
       "      <td>{PPAT;HPRT1, SLC29A2;SLC29A1}</td>\n",
       "      <td>3.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Human calcitonin</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>{ANPEP;SLC3A1, ANPEP;SLC7A9}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Lamivudine</td>\n",
       "      <td>Choline salicylate</td>\n",
       "      <td>{CMPK1;SLC22A5, CMPK1;PLD2}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Lamivudine</td>\n",
       "      <td>Choline</td>\n",
       "      <td>{CMPK1;SLC22A5, CMPK1;PLD2}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Icatibant</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>{ANPEP;SLC3A1, ANPEP;SLC7A9}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Choline salicylate</td>\n",
       "      <td>{CMPK1;SLC22A5, CMPK1;PLD2}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Choline</td>\n",
       "      <td>{CMPK1;SLC22A5, CMPK1;PLD2}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Ezetimibe</td>\n",
       "      <td>Cystine</td>\n",
       "      <td>{ANPEP;SLC3A1, ANPEP;SLC7A9}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Sofosbuvir</td>\n",
       "      <td>Choline</td>\n",
       "      <td>{CMPK1;SLC22A5, CMPK1;PLD2}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Sofosbuvir</td>\n",
       "      <td>Choline salicylate</td>\n",
       "      <td>{CMPK1;SLC22A5, CMPK1;PLD2}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Gemcitabine</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC29A2;PTDSS1, CMPK1;PTDSS1}</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Taurocholic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Nateglinide</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Lamivudine</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{CMPK1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Quercetin</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Probenecid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Aminohippuric acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Acetic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Lactic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Benzoic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Ampicillin</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Salicylic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Arbaclofen Placarbil</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Methotrexate</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Valproic acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Foscarnet</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Sofosbuvir</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{CMPK1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Pravastatin</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>gamma-Hydroxybutyric acid</td>\n",
       "      <td>Phosphatidyl serine</td>\n",
       "      <td>{SLC16A1;PTDSS1}</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Drugs1               Drugs2  \\\n",
       "45               Azathioprine           Pemetrexed   \n",
       "46             Mercaptopurine           Pemetrexed   \n",
       "2                  Cladribine         Valaciclovir   \n",
       "3                  Cladribine            Acyclovir   \n",
       "4                   Cefradine         Methotrexate   \n",
       "5            Benzylpenicillin         Methotrexate   \n",
       "6                   Cefalotin         Methotrexate   \n",
       "7                  Ampicillin         Methotrexate   \n",
       "8                 Ceftazidime         Methotrexate   \n",
       "9                    Cefdinir         Methotrexate   \n",
       "10                   Cefepime         Methotrexate   \n",
       "11                   Cefixime         Methotrexate   \n",
       "14                Cyclacillin         Methotrexate   \n",
       "15                 Cephalexin         Methotrexate   \n",
       "47               Azathioprine         Fluorouracil   \n",
       "48             Mercaptopurine         Fluorouracil   \n",
       "50               Methotrexate         Azathioprine   \n",
       "51               Methotrexate       Mercaptopurine   \n",
       "0                      Imexon         Valaciclovir   \n",
       "1                      Imexon            Acyclovir   \n",
       "12                 Tioguanine           Pemetrexed   \n",
       "13                    DB01632           Pemetrexed   \n",
       "16               Azathioprine       Mercaptopurine   \n",
       "17             Mercaptopurine       Mercaptopurine   \n",
       "28           Human calcitonin              Cystine   \n",
       "29                 Lamivudine   Choline salicylate   \n",
       "30                 Lamivudine              Choline   \n",
       "31                  Icatibant              Cystine   \n",
       "32                Gemcitabine   Choline salicylate   \n",
       "33                Gemcitabine              Choline   \n",
       "37                  Ezetimibe              Cystine   \n",
       "38                 Sofosbuvir              Choline   \n",
       "43                 Sofosbuvir   Choline salicylate   \n",
       "49                Gemcitabine  Phosphatidyl serine   \n",
       "18           Taurocholic acid  Phosphatidyl serine   \n",
       "19                Nateglinide  Phosphatidyl serine   \n",
       "20                 Lamivudine  Phosphatidyl serine   \n",
       "21                  Quercetin  Phosphatidyl serine   \n",
       "22                 Probenecid  Phosphatidyl serine   \n",
       "23         Aminohippuric acid  Phosphatidyl serine   \n",
       "24                Acetic acid  Phosphatidyl serine   \n",
       "25                Lactic acid  Phosphatidyl serine   \n",
       "26               Benzoic acid  Phosphatidyl serine   \n",
       "27                 Ampicillin  Phosphatidyl serine   \n",
       "34             Salicylic acid  Phosphatidyl serine   \n",
       "35       Arbaclofen Placarbil  Phosphatidyl serine   \n",
       "36               Methotrexate  Phosphatidyl serine   \n",
       "39              Valproic acid  Phosphatidyl serine   \n",
       "40                  Foscarnet  Phosphatidyl serine   \n",
       "41                 Sofosbuvir  Phosphatidyl serine   \n",
       "42                Pravastatin  Phosphatidyl serine   \n",
       "44  gamma-Hydroxybutyric acid  Phosphatidyl serine   \n",
       "\n",
       "                                            Gene_Pair  Phenotype_Essentiality  \\\n",
       "45  {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...                    2.80   \n",
       "46  {HPRT1;GART, SLC29A2;SLC29A1, TYMS;SLC29A2, DH...                    2.80   \n",
       "2                    {GUK1;PNP, RRM2;GUK1, RRM1;GUK1}                    9.33   \n",
       "3                    {GUK1;PNP, RRM2;GUK1, RRM1;GUK1}                    9.33   \n",
       "4       {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "5       {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "6       {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "7       {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "8       {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "9       {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "10      {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "11      {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "14      {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "15      {SLC22A5;DHFR, SLC22A5;TYMS, SLC15A2;SLC15A1}                    5.00   \n",
       "47        {TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}                    2.66   \n",
       "48        {TYMS;SLC29A2, PPAT;HPRT1, SLC29A2;SLC29A1}                    2.66   \n",
       "50           {TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}                    2.33   \n",
       "51           {TYMS;SLC29A2, DHFR;SLC29A2, ATIC;HPRT1}                    2.33   \n",
       "0                              {RRM2;GUK1, RRM1;GUK1}                   10.00   \n",
       "1                              {RRM2;GUK1, RRM1;GUK1}                   10.00   \n",
       "12                           {HPRT1;GART, ATIC;HPRT1}                    5.00   \n",
       "13                           {HPRT1;GART, ATIC;HPRT1}                    5.00   \n",
       "16                      {PPAT;HPRT1, SLC29A2;SLC29A1}                    3.50   \n",
       "17                      {PPAT;HPRT1, SLC29A2;SLC29A1}                    3.50   \n",
       "28                       {ANPEP;SLC3A1, ANPEP;SLC7A9}                    3.00   \n",
       "29                        {CMPK1;SLC22A5, CMPK1;PLD2}                    3.00   \n",
       "30                        {CMPK1;SLC22A5, CMPK1;PLD2}                    3.00   \n",
       "31                       {ANPEP;SLC3A1, ANPEP;SLC7A9}                    3.00   \n",
       "32                        {CMPK1;SLC22A5, CMPK1;PLD2}                    3.00   \n",
       "33                        {CMPK1;SLC22A5, CMPK1;PLD2}                    3.00   \n",
       "37                       {ANPEP;SLC3A1, ANPEP;SLC7A9}                    3.00   \n",
       "38                        {CMPK1;SLC22A5, CMPK1;PLD2}                    3.00   \n",
       "43                        {CMPK1;SLC22A5, CMPK1;PLD2}                    3.00   \n",
       "49                     {SLC29A2;PTDSS1, CMPK1;PTDSS1}                    2.50   \n",
       "18                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "19                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "20                                     {CMPK1;PTDSS1}                    3.00   \n",
       "21                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "22                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "23                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "24                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "25                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "26                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "27                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "34                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "35                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "36                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "39                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "40                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "41                                     {CMPK1;PTDSS1}                    3.00   \n",
       "42                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "44                                   {SLC16A1;PTDSS1}                    3.00   \n",
       "\n",
       "    Phenotype_Safety  Number_Genes  \n",
       "45              0.40             5  \n",
       "46              0.40             5  \n",
       "2               0.00             3  \n",
       "3               0.00             3  \n",
       "4               0.66             3  \n",
       "5               0.66             3  \n",
       "6               0.66             3  \n",
       "7               0.66             3  \n",
       "8               0.66             3  \n",
       "9               0.66             3  \n",
       "10              0.66             3  \n",
       "11              0.66             3  \n",
       "14              0.66             3  \n",
       "15              0.66             3  \n",
       "47              0.66             3  \n",
       "48              0.66             3  \n",
       "50              0.00             3  \n",
       "51              0.00             3  \n",
       "0               0.00             2  \n",
       "1               0.00             2  \n",
       "12              0.00             2  \n",
       "13              0.00             2  \n",
       "16              1.00             2  \n",
       "17              1.00             2  \n",
       "28              1.00             2  \n",
       "29              1.00             2  \n",
       "30              1.00             2  \n",
       "31              1.00             2  \n",
       "32              1.00             2  \n",
       "33              1.00             2  \n",
       "37              1.00             2  \n",
       "38              1.00             2  \n",
       "43              1.00             2  \n",
       "49              2.00             2  \n",
       "18              3.00             1  \n",
       "19              3.00             1  \n",
       "20              2.00             1  \n",
       "21              3.00             1  \n",
       "22              3.00             1  \n",
       "23              3.00             1  \n",
       "24              3.00             1  \n",
       "25              3.00             1  \n",
       "26              3.00             1  \n",
       "27              3.00             1  \n",
       "34              3.00             1  \n",
       "35              3.00             1  \n",
       "36              3.00             1  \n",
       "39              3.00             1  \n",
       "40              3.00             1  \n",
       "41              2.00             1  \n",
       "42              3.00             1  \n",
       "44              3.00             1  "
      ]
     },
     "execution_count": 497,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reduced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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