Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1.

ABSTRACT: The quantitative characterization of mutational landscapes is a task of outstanding importance in evolutionary and medical biology: It is, for example, of central importance for our understanding of the phenotypic effect of mutations related to disease and antibiotic drug resistance. Here we develop a novel inference scheme for mutational landscapes, which is based on the statistical analysis of large alignments of homologs of the protein of interest. Our method is able to capture epistatic couplings between residues, and therefore to assess the dependence of mutational effects on the sequence context where they appear. Compared with recent large-scale mutagenesis data of the beta-lactamase TEM-1, a protein providing resistance against beta-lactam antibiotics, our method leads to an increa

SUBMITTER: Figliuzzi M 

PROVIDER: S-EPMC4693977 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature