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
Reference20 articles.
1. Correlations among amino acid sites in bHLH protein domains: an information theoretic analysis;Atchley;Mol. Biol. Evol,2000
2. A method to predict functional residues in proteins;Casari;Nat. Struct. Biol,1995
3. The igraph software package for complex network research;Csardi;Int. J. Complex Syst,2006
4. Emerging methods in protein co-evolution;de Juan;Nat. Rev. Genet,2013
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