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molecular-similarity

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ASCEC (Annealing Simulado Con Energía Cuántica) is a Python tool developed by the QFT research group designed to automatically sample molecular configurational PES and perform screening of topological features.

  • Updated Mar 28, 2026
  • Python

ML-driven platform for Glioblastoma drug recommendation using GDSC data. Features multi-model prediction (RF, XGBoost, NN, SVM, KNN), molecular similarity analysis (Tanimoto, MCS, GCN), pathway enrichment, drug interaction checking, and combination therapy optimization with interactive dashboard.

  • Updated Mar 6, 2026
  • Python

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