Drug–ligand binding affinity predictor
Drug discovery
Predicts how strongly a drug binds its target protein. Protein sequences go through ESM-2, ligands become molecular graphs, and five GNN variants are tested against XGBoost and random forest baselines.
- Trained on 51,784 protein–ligand pairs
- Splitting by protein cut the generalization gap by 32%
PyTorch Geometric, ESM-2, RDKit, XGBoost