Emerging methods in protein co-evolution

被引:449
作者
de Juan, David [1 ]
Pazos, Florencio [2 ]
Valencia, Alfonso [1 ]
机构
[1] Spanish Natl Canc Res Ctr CNIO, Struct Biol & Biocomp Programme, Madrid, Spain
[2] Natl Ctr Biotechnol CNB CSIC, Computat Syst Biol Grp, Madrid, Spain
关键词
CO-EVOLUTIONARY ANALYSIS; AMINO-ACID-RESIDUES; INTERACTING PROTEINS; CORRELATED MUTATIONS; FUNCTIONAL LINKAGES; ALLOSTERIC COMMUNICATION; DOMAIN INTERACTIONS; PHYLOGENETIC TREES; PREDICTION; INFORMATION;
D O I
10.1038/nrg3414
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Co-evolution is a fundamental component of the theory of evolution and is essential for understanding the relationships between species in complex ecological networks. A wide range of co-evolution-inspired computational methods has been designed to predict molecular interactions, but it is only recently that important advances have been made. Breakthroughs in the handling of phylogenetic information and in disentangling indirect relationships have resulted in an improved capacity to predict interactions between proteins and contacts between different protein residues. Here, we review the main co-evolution-based computational approaches, their theoretical basis, potential applications and foreseeable developments.
引用
收藏
页码:249 / 261
页数:13
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