SurGBSA: Learning Representations From Molecular Dynamics Simulations

Abstract

Protein-ligand interactions are inherently dynamic, yet most neural network methods for structure-based drug design rely on static structural representations. Atomistic molecular dynamics (MD) simulations provide a tool to model the...