Protein interaction networks revealed by proteome coevolution

被引:171
作者
Cong, Qian [1 ,2 ]
Anishchenko, Ivan [1 ,2 ]
Ovchinnikov, Sergey [3 ]
Baker, David [1 ,2 ,4 ]
机构
[1] Univ Washington, Dept Biochem, Seattle, WA 98105 USA
[2] Univ Washington, Inst Prot Design, Seattle, WA 98105 USA
[3] Harvard Univ, John Harvard Distinguished Sci Fellowship Program, Cambridge, MA 02138 USA
[4] Univ Washington, Howard Hughes Med Inst, Seattle, WA 98105 USA
基金
美国国家卫生研究院;
关键词
PREDICTION; SEQUENCE; DATABASE; LANDSCAPE; CONTACTS;
D O I
10.1126/science.aaw6718
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
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Residue-residue coevolution has been observed across a number of protein-protein interfaces, but the extent of residue coevolution between protein families on the whole-proteome scale has not been systematically studied. We investigate coevolution between 5.4 million pairs of proteins in Escherichia coli and between 3.9 millions pairs in Mycobacterium tuberculosis. We find strong coevolution for binary complexes involved in metabolism and weaker coevolution for larger complexes playing roles in genetic information processing. We take advantage of this coevolution, in combination with structure modeling, to predict protein-protein interactions (PPIs) with an accuracy that benchmark studies suggest is considerably higher than that of proteome-wide two-hybrid and mass spectrometry screens. We identify hundreds of previously uncharacterized PPIs in E. coli and M. tuberculosis that both add components to known protein complexes and networks and establish the existence of new ones.
引用
收藏
页码:185 / +
页数:54
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