1. Evolutionary Biology
Download icon

Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information

  1. Sergey Ovchinnikov
  2. Hetunandan Kamisetty
  3. David Baker  Is a corresponding author
  1. Howard Hughes Medical Institute, University of Washington, United States
Research Article
  • Cited 219
  • Views 11,427
  • Annotations
Cite this article as: eLife 2014;3:e02030 doi: 10.7554/eLife.02030

Abstract

Do the amino acid sequence identities of residues that make contact across protein interfaces covary during evolution? If so, such covariance could be used to predict contacts across interfaces and assemble models of biological complexes. We find that residue pairs identified using a pseudo-likelihood based method to covary across protein-protein interfaces in the 50S ribosomal unit and 28 additional bacterial protein complexes with known structure are almost always in contact in the complex provided that the number of aligned sequences is greater than the average of the lengths of the two proteins. We use this method to make subunit contact predictions for an additional 36 protein complexes with unknown structures, and present models based on these predictions for the tripartite ATP-independent periplasmic (TRAP) transporter, the tripartite efflux system, the pyruvate formate lyase-activating enzyme complex, and the methionine ABC transporter.

Article and author information

Author details

  1. Sergey Ovchinnikov

    Howard Hughes Medical Institute, University of Washington, Seattle, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Hetunandan Kamisetty

    Howard Hughes Medical Institute, University of Washington, Seattle, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. David Baker

    Howard Hughes Medical Institute, University of Washington, Seattle, United States
    For correspondence
    dabaker@u.washington.edu
    Competing interests
    The authors declare that no competing interests exist.

Reviewing Editor

  1. Benoit Roux, University of Chicago, United States

Publication history

  1. Received: December 8, 2013
  2. Accepted: April 22, 2014
  3. Accepted Manuscript published: May 1, 2014 (version 1)
  4. Version of Record published: May 27, 2014 (version 2)

Copyright

© 2014, Ovchinnikov et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 11,427
    Page views
  • 1,638
    Downloads
  • 219
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, Scopus, PubMed Central.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Download citations (links to download the citations from this article in formats compatible with various reference manager tools)

Open citations (links to open the citations from this article in various online reference manager services)

Further reading

    1. Evolutionary Biology
    2. Microbiology and Infectious Disease
    Camilo Barbosa et al.
    Research Article Updated
    1. Evolutionary Biology
    2. Genetics and Genomics
    Jessica E Thomas et al.
    Research Article