Shubham Bhatnagar

This paper develops KaML models using decision trees and graph attention networks to predict protein pKa values and ionization states, outperforming existing methods and introducing a new pKa database.

The paper develops ML models to predict covalent ligandable cysteines using a curated database, achieving high accuracy and providing a web tool for drug discovery.