Literature DB >> 28980349

Protein-protein interactions leave evolutionary footprints: High molecular coevolution at the core of interfaces.

Elin Teppa1, Diego Javier Zea1, Cristina Marino-Buslje1.   

Abstract

Protein-protein interactions are essential to all aspects of life. Specific interactions result from evolutionary pressure at the interacting interfaces of partner proteins. However, evolutionary pressure is not homogeneous within the interface: for instance, each residue does not contribute equally to the binding energy of the complex. To understand functional differences between residues within the interface, we analyzed their properties in the core and rim regions. Here, we characterized protein interfaces with two evolutionary measures, conservation and coevolution, using a comprehensive dataset of 896 protein complexes. These scores can detect different selection pressures at a given position in a multiple sequence alignment. We also analyzed how the number of interactions in which a residue is involved influences those evolutionary signals. We found that the coevolutionary signal is higher in the interface core than in the interface rim region. Additionally, the difference in coevolution between core and rim regions is comparable to the known difference in conservation between those regions. Considering proteins with multiple interactions, we found that conservation and coevolution increase with the number of different interfaces in which a residue is involved, suggesting that more constraints (i.e., a residue that must satisfy a greater number of interactions) allow fewer sequence changes at those positions, resulting in higher conservation and coevolution values. These findings shed light on the evolution of protein interfaces and provide information useful for identifying protein interfaces and predicting protein-protein interactions.
© 2017 The Protein Society.

Keywords:  binding interface; coevolution; conservation; interface core; interface rim; mutual information; protein-protein interaction

Mesh:

Substances:

Year:  2017        PMID: 28980349      PMCID: PMC5699499          DOI: 10.1002/pro.3318

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  29 in total

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Authors:  Simon C Lovell; David L Robertson
Journal:  Mol Biol Evol       Date:  2010-06-14       Impact factor: 16.240

3.  A simple definition of structural regions in proteins and its use in analyzing interface evolution.

Authors:  Emmanuel D Levy
Journal:  J Mol Biol       Date:  2010-09-22       Impact factor: 5.469

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Journal:  Proteins       Date:  2009-08-15

5.  Correction for phylogeny, small number of observations and data redundancy improves the identification of coevolving amino acid pairs using mutual information.

Authors:  Cristina Marino Buslje; Javier Santos; Jose Maria Delfino; Morten Nielsen
Journal:  Bioinformatics       Date:  2009-03-10       Impact factor: 6.937

6.  Networks of high mutual information define the structural proximity of catalytic sites: implications for catalytic residue identification.

Authors:  Cristina Marino Buslje; Elin Teppa; Tomas Di Doménico; José María Delfino; Morten Nielsen
Journal:  PLoS Comput Biol       Date:  2010-11-04       Impact factor: 4.475

7.  Correlated evolution of interacting proteins: looking behind the mirrortree.

Authors:  Maricel G Kann; Benjamin A Shoemaker; Anna R Panchenko; Teresa M Przytycka
Journal:  J Mol Biol       Date:  2008-10-09       Impact factor: 5.469

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Authors:  Damian Szklarczyk; Andrea Franceschini; Stefan Wyder; Kristoffer Forslund; Davide Heller; Jaime Huerta-Cepas; Milan Simonovic; Alexander Roth; Alberto Santos; Kalliopi P Tsafou; Michael Kuhn; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2014-10-28       Impact factor: 16.971

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

Authors:  Sergey Ovchinnikov; Hetunandan Kamisetty; David Baker
Journal:  Elife       Date:  2014-05-01       Impact factor: 8.140

10.  MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins.

Authors:  David T Jones; Tanya Singh; Tomasz Kosciolek; Stuart Tetchner
Journal:  Bioinformatics       Date:  2014-11-26       Impact factor: 6.937

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  7 in total

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Journal:  Nat Commun       Date:  2019-10-04       Impact factor: 14.919

Review 4.  Implications of disease-related mutations at protein-protein interfaces.

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5.  Comparative Structural Analysis of 20S Proteasome Ortholog Protein Complexes by Native Mass Spectrometry.

Authors:  Shay Vimer; Gili Ben-Nissan; David Morgenstern; Fanindra Kumar-Deshmukh; Caley Polkinghorn; Royston S Quintyn; Yury V Vasil'ev; Joseph S Beckman; Nadav Elad; Vicki H Wysocki; Michal Sharon
Journal:  ACS Cent Sci       Date:  2020-04-10       Impact factor: 14.553

6.  Transmission distortion and genetic incompatibilities between alleles in a multigenerational mouse advanced intercross line.

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Journal:  Genetics       Date:  2022-01-04       Impact factor: 4.402

7.  Simplified geometric representations of protein structures identify complementary interaction interfaces.

Authors:  Caitlyn L McCafferty; Edward M Marcotte; David W Taylor
Journal:  Proteins       Date:  2020-11-11
  7 in total

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