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      Protein interaction networks revealed by proteome coevolution

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          Abstract

          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.

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          Author and article information

          Journal
          0404511
          7473
          Science
          Science
          Science (New York, N.Y.)
          0036-8075
          1095-9203
          7 November 2019
          11 July 2019
          12 July 2019
          12 January 2020
          : 365
          : 6449
          : 185-189
          Affiliations
          [1 ]Department of Biochemistry, University of Washington, Seattle, WA 98105, USA.
          [2 ]Institute for Protein Design, University of Washington, Seattle, WA 98105, USA.
          [3 ]John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA 02138, USA.
          [4 ]Howard Hughes Medical Institute, University of Washington, Seattle, WA 98105, USA.
          Author notes

          Author contributions: Q.C. and D.B. formulated the research goals and drafted the manuscript. Q.C. designed the methodology, implemented most of the code, collected most of the data, and performed the study. I.A. and S.O. participated in the data collection, methodology design, and code implementation. All authors participated in the final draft.

          [* ] Corresponding author. dabaker@ 123456uw.edu
          Article
          PMC6948103 PMC6948103 6948103 nihpa1054383
          10.1126/science.aaw6718
          6948103
          31296772
          c7368477-9a03-41f8-8f40-5faaf1b8574e
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