Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners.

ABSTRACT: In the course of evolution, proteins show a remarkable conservation of their three-dimensional structure and their biological function, leading to strong evolutionary constraints on the sequence variability between homologous proteins. Our method aims at extracting such constraints from rapidly accumulating sequence data, and thereby at inferring protein structure and function from sequence information alone. Recently, global statistical inference methods (e.g. direct-coupling analysis, sparse inverse covariance estimation) have achieved a breakthrough towards this aim, and their predictions have been successfully implemented into tertiary and quaternary protein structure prediction methods. However, due to the discrete nature of the underlying variable (amino-acids), exact inference requi

SUBMITTER: Baldassi C 

PROVIDER: S-EPMC3963956 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature