Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection

被引:109
|
作者
Morcos, Faruck [1 ]
Schafer, Nicholas P. [1 ,2 ]
Cheng, Ryan R. [1 ]
Onuchic, Jose N. [1 ,2 ,3 ,4 ]
Wolynes, Peter G. [1 ,2 ,3 ,4 ]
机构
[1] Rice Univ, Ctr Theoret Biol Phys, Houston, TX 77005 USA
[2] Rice Univ, Dept Chem, Houston, TX 77005 USA
[3] Rice Univ, Dept Phys & Astron, Houston, TX 77005 USA
[4] Rice Univ, Dept Biochem & Cell Biol, Houston, TX 77005 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
energy landscape theory; information theory; selection temperature; funneled landscapes; elastic effects; STATISTICAL-MECHANICS; STRUCTURE PREDICTION; NONNATIVE INTERACTIONS; TERMINAL DOMAIN; SEQUENCE; EVOLUTION; DESIGN; MODELS; COOPERATIVITY; HETEROPOLYMER;
D O I
10.1073/pnas.1413575111
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
The energy landscape used by nature over evolutionary timescales to select protein sequences is essentially the same as the one that folds these sequences into functioning proteins, sometimes in microseconds. Weshow that genomic data, physical coarse-grained free energy functions, and family-specific information theoretic models can be combined to give consistent estimates of energy landscape characteristics of natural proteins. One such characteristic is the effective temperature T-sel at which these foldable sequences have been selected in sequence space by evolution. T-sel quantifies the importance of folded-state energetics and structural specificity for molecular evolution. Across all protein families studied, our estimates for T-sel are well below the experimental folding temperatures, indicating that the energy landscapes of natural foldable proteins are strongly funneled toward the native state.
引用
收藏
页码:12408 / 12413
页数:6
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