Sequence co-evolution gives 3D contacts and structures of protein complexes

Author:

Hopf Thomas A12ORCID,Schärfe Charlotta P I134ORCID,Rodrigues João P G L M5,Green Anna G1,Kohlbacher Oliver34,Sander Chris6,Bonvin Alexandre M J J5ORCID,Marks Debora S1ORCID

Affiliation:

1. Department of Systems Biology, Harvard University, Boston, United States

2. Bioinformatics and Computational Biology, Department of Informatics, Technische Universität München, Garching, Germany

3. Applied Bioinformatics, Quantitative Biology Center, University of Tübingen, Tübingen, Germany

4. Department of Computer Science, University of Tübingen, Tübingen, Germany

5. Computational Structural Biology Group, Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands

6. Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, United States

Abstract

Protein–protein interactions are fundamental to many biological processes. Experimental screens have identified tens of thousands of interactions, and structural biology has provided detailed functional insight for select 3D protein complexes. An alternative rich source of information about protein interactions is the evolutionary sequence record. Building on earlier work, we show that analysis of correlated evolutionary sequence changes across proteins identifies residues that are close in space with sufficient accuracy to determine the three-dimensional structure of the protein complexes. We evaluate prediction performance in blinded tests on 76 complexes of known 3D structure, predict protein–protein contacts in 32 complexes of unknown structure, and demonstrate how evolutionary couplings can be used to distinguish between interacting and non-interacting protein pairs in a large complex. With the current growth of sequences, we expect that the method can be generalized to genome-wide elucidation of protein–protein interaction networks and used for interaction predictions at residue resolution.

Funder

National Institute of General Medical Sciences

Fulbright Commission

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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