Achal Ajeet Rayakar

This study improves virtual screening of AChE inhibitors by combining multi-structure covalent docking with a machine learning consensus model, achieving higher predictive accuracy than single-structure approaches.

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.