MCSM: predicting the effects of mutations in proteins using graph-based signatures.

ABSTRACT:

Motivation

Mutations play fundamental roles in evolution by introducing diversity into genomes. Missense mutations in structural genes may become either selectively advantageous or disadvantageous to the organism by affecting protein stability and/or interfering with interactions between partners. Thus, the ability to predict the impact of mutations on protein stability and interactions is of significant value, particularly in understanding the effects of Mendelian and somatic mutations on the progression of disease. Here, we propose a novel approach to the study of missense mutations, called mCSM, which relies on graph-based signatures. These encode distance patterns between atoms and are used to represent the protein residue environment and to train predictive models. To understa

SUBMITTER: Pires DE 

PROVIDER: S-EPMC3904523 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature