Jordan Crivelli-Decker

SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural Dataset

Accurate prediction of protein-ligand binding affinities remains a cornerstone problem in drug discovery. While binding affinity is inherently dictated by the 3D structure and dynamics of protein-ligand complexes, current deep learning approaches are limited by the lack of high-quality experimental…