MmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactions.

ABSTRACT: Protein-protein interactions play a crucial role in all cellular functions and biological processes and mutations leading to their disruption are enriched in many diseases. While a number of computational methods to assess the effects of variants on protein-protein binding affinity have been proposed, they are in general limited to the analysis of single point mutations and have been shown to perform poorly on independent test sets. Here, we present mmCSM-PPI, a scalable and effective machine learning model for accurately assessing changes in protein-protein binding affinity caused by single and multiple missense mutations. We expanded our well-established graph-based signatures in order to capture physicochemical and geometrical properties of multiple wild-type residue environments and in

SUBMITTER: Rodrigues CHM 

PROVIDER: S-EPMC8262703 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature