MPA-MutPred: a novel strategy for accurately predicting the binding affinity change upon mutation in membrane protein complexes.

ABSTRACT: Mutations in the interface of membrane protein (MP) complexes are key contributors to a broad spectrum of human diseases, primarily due to changes in their binding affinities. While various methods exist for predicting the mutation-induced changes in binding affinity (ΔΔG) in protein-protein complexes, none are specific to MP complexes. This study proposes a novel strategy for ΔΔG prediction in MP complexes, which combines linear and nonlinear models, to obtain a more robust model with improved prediction accuracy. We used multiple linear regression to extract informative features that influence the binding affinity in MP complexes, which included changes in the stability of the complex, conservation score, electrostatic interaction, relatively accessible surface area, and interface contac

SUBMITTER: Ridha F 

PROVIDER: S-EPMC11568875 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature