Literature DB >> 20551042

An integrated view of molecular coevolution in protein-protein interactions.

Simon C Lovell1, David L Robertson.   

Abstract

Protein-protein interactions effectively mediate molecular function. They are the result of specific interactions between protein interfaces and are maintained by the action of evolutionary pressure on the regions of the interacting proteins that contribute to binding. For the most part, selection restricts amino acid replacements, accounting for the conservation of binding interfaces. However, in some cases, change in one protein will be mitigated by compensatory change in its binding partner, maintaining function in the face of evolutionary change. There have been several attempts to use correlations in sequence evolution to predict interactions of proteins. Most commonly, these approaches use the entire sequence to identify correlations and so infer probable binding. However, other factors such as shared evolutionary history and similarities in the rates of evolution confound these whole-sequence-based approaches. Here, we discuss recent work on this topic and argue that both site-specific coevolutionary change and whole-sequence evolution contribute to evolutionary signals in sets of interacting proteins. We discuss the relative effects of both types of selection and how they might be identified. This permits an integrated view of protein-protein interactions, their evolution, and coevolution.

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Year:  2010        PMID: 20551042     DOI: 10.1093/molbev/msq144

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  59 in total

1.  Accelerated evolution and coevolution drove the evolutionary history of AGPase sub-units during angiosperm radiation.

Authors:  Jonathan Corbi; Julien Y Dutheil; Catherine Damerval; Maud I Tenaillon; Domenica Manicacci
Journal:  Ann Bot       Date:  2012-02-02       Impact factor: 4.357

2.  Evolutionary rate covariation reveals shared functionality and coexpression of genes.

Authors:  Nathan L Clark; Eric Alani; Charles F Aquadro
Journal:  Genome Res       Date:  2012-01-27       Impact factor: 9.043

Review 3.  The functional importance of co-evolving residues in proteins.

Authors:  Inga Sandler; Nitzan Zigdon; Efrat Levy; Amir Aharoni
Journal:  Cell Mol Life Sci       Date:  2013-09-01       Impact factor: 9.261

4.  Evolutionary pattern in the OXT-OXTR system in primates: coevolution and positive selection footprints.

Authors:  Pedro Vargas-Pinilla; Vanessa Rodrigues Paixão-Côrtes; Pamela Paré; Luciana Tovo-Rodrigues; Carlos Meton de Alencar Gadelha Vieira; Agatha Xavier; David Comas; Alcides Pissinatti; Marialva Sinigaglia; Maurício Menegatti Rigo; Gustavo Fioravanti Vieira; Aldo B Lucion; Francisco Mauro Salzano; Maria Cátira Bortolini
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-22       Impact factor: 11.205

5.  Mac-1 Regulates IL-13 Activity in Macrophages by Directly Interacting with IL-13Rα1.

Authors:  Chunzhang Cao; Juanjuan Zhao; Emily K Doughty; Mary Migliorini; Dudley K Strickland; Maricel G Kann; Li Zhang
Journal:  J Biol Chem       Date:  2015-07-09       Impact factor: 5.157

6.  Coordinated rates of evolution between interacting plastid and nuclear genes in Geraniaceae.

Authors:  Jin Zhang; Tracey A Ruhlman; Jamal Sabir; J Chris Blazier; Robert K Jansen
Journal:  Plant Cell       Date:  2015-02-27       Impact factor: 11.277

7.  Elucidating the druggable interface of protein-protein interactions using fragment docking and coevolutionary analysis.

Authors:  Fang Bai; Faruck Morcos; Ryan R Cheng; Hualiang Jiang; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-29       Impact factor: 11.205

8.  Positive Selection in Rapidly Evolving Plastid-Nuclear Enzyme Complexes.

Authors:  Kate Rockenbach; Justin C Havird; J Grey Monroe; Deborah A Triant; Douglas R Taylor; Daniel B Sloan
Journal:  Genetics       Date:  2016-10-05       Impact factor: 4.562

9.  Adaptive selection and coevolution at the proteins of the Polycomb repressive complexes in Drosophila.

Authors:  J M Calvo-Martín; P Librado; M Aguadé; M Papaceit; C Segarra
Journal:  Heredity (Edinb)       Date:  2015-10-21       Impact factor: 3.821

10.  Efficient prediction of co-complexed proteins based on coevolution.

Authors:  Damien M de Vienne; Jérôme Azé
Journal:  PLoS One       Date:  2012-11-09       Impact factor: 3.240

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