Jiancheng Hu

The paper introduces a hybrid machine learning framework that improves protein-ligand interaction prediction by combining biophysicochemical insights with large-scale representations, achieving faster and more accurate virtual screening.

This paper develops a molecular dynamics protocol to predict EGFR mutation effects and applies it to three rare mutations, showing how they alter structural dynamics and activity.