Computational Identification of Novel Amino-Acid Interactions in HIV Gag via Correlated Evolution

被引：7

作者：

Kalinina, Olga V. ^{[1
]}

Oberwinkler, Heike ^{[2
]}

Glass, Baerbel ^{[2
]}

Kraeusslich, Hans-Georg ^{[1
,2
]}

Russell, Robert B. ^{[1
]}

Briggs, John A. G. ^{[3
]}

机构：

[1] Univ Heidelberg, Bioquant, CellNetworks, Heidelberg, Germany

[2] Univ Klinikum Heidelberg, Dept Infect Dis, Heidelberg, Germany

[3] European Mol Biol Lab, Struct & Computat Biol Unit, Heidelberg, Germany

来源：

PLOS ONE | 2012年 / 7卷 / 08期

关键词：

MULTIPLE SEQUENCE ALIGNMENTS; CONTACT PREDICTION; PROTEIN EVOLUTION; INFORMATION; COVARIANCE; CONSERVATION; MUTATIONS; POSITIONS; MODELS;

D O I：

10.1371/journal.pone.0042468

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 capsid. A reduction in infectivity caused by mutating one member of a significant pair could be rescued by a compensatory mutation of the other.

引用

页数：5

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