Correspondence between functional scores from deep mutational scans and predicted effects on protein stability.

ABSTRACT: Many methodologically diverse computational methods have been applied to the growing challenge of predicting and interpreting the effects of protein variants. As many pathogenic mutations have a perturbing effect on protein stability or intermolecular interactions, one highly interpretable approach is to use protein structural information to model the physical impacts of variants and predict their likely effects on protein stability and interactions. Previous efforts have assessed the accuracy of stability predictors in reproducing thermodynamically accurate values and evaluated their ability to distinguish between known pathogenic and benign mutations. Here, we take an alternate approach, and explore how well stability predictor scores correlate with functional impacts derived from deep m

SUBMITTER: Gerasimavicius L 

PROVIDER: S-EPMC10273344 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature