Bios2cor: an R package integrating dynamic and evolutionary correlations to identify functionally important residues in proteins

Author:

Taddese Bruck1,Garnier Antoine1,Deniaud Madeline1,Henrion Daniel1,Chabbert Marie1

Affiliation:

1. CNRS UMR 6015 – INSERM 1083, MITOVASC Laboratory, 49100 Angers, France

Abstract

Abstract Summary Both dynamic correlations in protein sidechain motions during molecular dynamics (MD) simulations and evolutionary correlations in multiple sequence alignments (MSAs) of homologous proteins may reveal functionally important residues. We developed the R package Bios2cor that provides a unique framework to investigate and, possibly, integrate both analyses. Bios2cor starts with an MSA or an MD trajectory and computes correlation/covariation scores between positions in the MSA or between sidechain dihedral angles or rotamers in the MD trajectory. In addition, Bios2cor provides a variety of tools for the analysis, the visualization and the interpretation of the data. Availability and implementation The R package Bios2cor is available from the Comprehensive R Archive Network, at https://CRAN.R-project.org/package=Bios2cor.

Funder

The French National Research Agency

GENCI

CNRS

INSERM

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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