KaMLs for Predicting Protein pKa Values and Ionization States: Are Trees All You Need?
Mingzhe Shen, Daniel Kortzak, Simon Ambrozak, Shubham Bhatnagar, Ian Buchanan, Ruibin Liu, Jana Shen
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.
Journal of Chemical Theory and Computation · Jan 30, 2025Peer-reviewedBiophysics