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Accurately Predicting Protein pKa Values Using Nonequilibrium Alchemy.


ABSTRACT: The stability, solubility, and function of a protein depend on both its net charge and the protonation states of its individual residues. pKa is a measure of the tendency for a given residue to (de)protonate at a specific pH. Although pKa values can be resolved experimentally, theory and computation provide a compelling alternative. To this end, we assess the applicability of a nonequilibrium (NEQ) alchemical free energy method to the problem of pKa prediction. On a data set of 144 residues that span 13 proteins, we report an average unsigned error of 0.77 ± 0.09, 0.69 ± 0.09, and 0.52 ± 0.04 pK for aspartate, glutamate, and lysine, respectively. This is comparable to current state-of-the-art predictors and the accuracy recently

SUBMITTER: Wilson CJ 

PROVIDER: S-EPMC10653114 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature