Computational identification of novel amino-acid interactions in HIV Gag via correlated evolution.
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ABSTRACT:
SUBMITTER: Kalinina OV
PROVIDER: S-EPMC3411748 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Publications
Computational identification of novel amino-acid interactions in HIV Gag via correlated evolution.
Kalinina Olga V OV Oberwinkler Heike H Glass Bärbel B Kräusslich Hans-Georg HG Russell Robert B RB Russell Robert B RB Briggs John A G JA
PloS one 20120803 8
Pairs of amino acid positions that evolve in a correlated manner are proposed to play important roles in protein structure or function. Methods to detect them might fare better with families for which sequences of thousands of closely related homologs are available than families with only a few distant relatives. We applied co-evolution analysis to thousands of sequences of HIV Gag, finding that the most significantly co-evolving positions are proximal in the quaternary structures of the viral c ...[more]
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