FrustratometeR: an R-package to compute local frustration in protein structures, point mutants and MD simulations
Author(s) -
Atilio O Rausch,
María I. Freiberger,
César O. Leonetti,
Diego M. Luna,
Leandro Radusky,
Peter G. Wolynes,
Diego U. Ferreiro,
R. Gonzalo Parra
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab176
Subject(s) - frustration , point mutation , mutant , computer science , r package , point (geometry) , statistical physics , computational science , algorithm , mathematics , genetics , biology , physics , geometry , condensed matter physics , gene
Once folded, natural protein molecules have few energetic conflicts within their polypeptide chains. Many protein structures do however contain regions where energetic conflicts remain after folding, i.e. they are highly frustrated. These regions, kept in place over evolutionary and physiological timescales, are related to several functional aspects of natural proteins such as protein-protein interactions, small ligand recognition, catalytic sites and allostery. Here, we present FrustratometeR, an R package that easily computes local energetic frustration on a personal computer or a cluster. This package facilitates large scale analysis of local frustration, point mutants and molecular dynamics (MD) trajectories, allowing straightforward integration of local frustration analysis into pipelines for protein structural analysis.
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