PremPS: Predicting the impact of missense mutations on protein stability.

ABSTRACT: Computational methods that predict protein stability changes induced by missense mutations have made a lot of progress over the past decades. Most of the available methods however have very limited accuracy in predicting stabilizing mutations because existing experimental sets are dominated by mutations reducing protein stability. Moreover, few approaches could consistently perform well across different test cases. To address these issues, we developed a new computational method PremPS to more accurately evaluate the effects of missense mutations on protein stability. The PremPS method is composed of only ten evolutionary- and structure-based features and parameterized on a balanced dataset with an equal number of stabilizing and destabilizing mutations. A comprehensive comparison of the p

SUBMITTER: Chen Y 

PROVIDER: S-EPMC7802934 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature