Graph Network for protein-protein interface

A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)

Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)

Code repository for the SPOC tool for scoring binary AF-M predicitons.

E(3) equivariant graph neural network for PPI site prediction

Evolved25 AIxBio Global Sprint Hackathon (Fastfold AI Team)

🧬 Companion repository for the Methods in Molecular Biology protocol 📓 combining AlphaFold confidence metrics with pyDock energy scoring⚡ for protein–protein complex modeling.

Python package to analyse surface-based binding kinetics data with simple models

Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 by Super.Complex and CORUM

Open hotspot-guided de novo protein binder design pipeline integrating OpenMM, BindCraft, ProteinMPNN, and AlphaFold2.

Community-Maintained Version of mordred (Quantitative Estimate Index for Early-Stage Screening of Compounds Targeting Protein-Protein Interactions)

Structural Interactome pipeline

Consensus-based visualisation of protein–protein interactions from MD trajectories

Convert PPIs in HIPPIE to BEL

Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 with RL

Systematic discovery of conserved SLiMs in IDRs of autism risk genes (SFARI) vs matched controls

A computational biology project analyzing Protein-Protein Interaction (PPI) networks using Graph Theory and NetworkX. Features centrality analysis, shortest path discovery, and network visualization to identify key biological hubs.

Tools for processing and analysing PPI datasets

R workflow for patient-specific protein-protein interaction subnetwork profiling from bulk RNA-seq-derived gene tables.

Incorporating Triplet Error for Predicting PPIs using Deep Learning