Predicting protein electrostatics with protein language models

Researchers developed KaML-ESM, a protein language model-based neural network that predicts protein residue ionization constants with high accuracy, outperforming existing methods. Applied to the human proteome, it identifies functional sites and catalytic mechanisms, aiding biological research and protein engineering.