Eric C. Larson

This paper designs new ligands using deep learning to convert latent protein descriptors into SMILES strings, resulting in chemically feasible compounds with potential binding affinities to known proteins.

SSnet predicts protein-ligand interactions using secondary structure features, outperforming existing models and revealing key structural elements for ligand binding.