Literature DB >> 24853495

Evolution of protein interactions: from interactomes to interfaces.

Jessica Andreani1, Raphael Guerois2.   

Abstract

Protein-protein interactions lie at the heart of most cellular processes. Many experimental and computational studies aim to deepen our understanding of these interactions and improve our capacity to predict them. In this respect, the evolutionary perspective is most interesting, since the preservation of structure and function puts constraints on the evolution of proteins and their interactions. However, uncovering these constraints remains a challenge, and the description and detection of evolutionary signals in protein-protein interactions is currently a very active field of research. Here, we review recent works dissecting the mechanisms of protein-protein interaction evolution and exploring how to use evolutionary information to predict interactions, both at the global level of the interactome and at the detailed level of protein-protein interfaces. We first present to what extent protein-protein interactions are found to be conserved within interactomes and which properties can influence their conservation. We then discuss the evolutionary and co-evolutionary pressures applied on protein-protein interfaces. Finally, we describe how the computational prediction of interfaces can benefit from evolutionary inputs.
Copyright © 2014 Elsevier Inc. All rights reserved.

Keywords:  Bioinformatics; Co-evolution; Computational methods; Docking; Interactome; Interface; Prediction; Protein–protein interaction

Mesh:

Substances:

Year:  2014        PMID: 24853495     DOI: 10.1016/j.abb.2014.05.010

Source DB:  PubMed          Journal:  Arch Biochem Biophys        ISSN: 0003-9861            Impact factor:   4.013


  15 in total

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

Authors:  Thomas A Hopf; Charlotta P I Schärfe; João P G L M Rodrigues; Anna G Green; Oliver Kohlbacher; Chris Sander; Alexandre M J J Bonvin; Debora S Marks
Journal:  Elife       Date:  2014-09-25       Impact factor: 8.140

2.  Conservation of coevolving protein interfaces bridges prokaryote-eukaryote homologies in the twilight zone.

Authors:  Juan Rodriguez-Rivas; Simone Marsili; David Juan; Alfonso Valencia
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-13       Impact factor: 11.205

3.  Comprehensive analysis of all evolutionary paths between two divergent PDZ domain specificities.

Authors:  Joan Teyra; Andreas Ernst; Alex Singer; Frank Sicheri; Sachdev S Sidhu
Journal:  Protein Sci       Date:  2019-11-14       Impact factor: 6.725

4.  Gaussian accelerated molecular dynamics (GaMD): principles and applications.

Authors:  Jinan Wang; Pablo R Arantes; Apurba Bhattarai; Rohaine V Hsu; Shristi Pawnikar; Yu-Ming M Huang; Giulia Palermo; Yinglong Miao
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2021-03-01

5.  Structural Perspectives on the Evolutionary Expansion of Unique Protein-Protein Binding Sites.

Authors:  Alexander Goncearenco; Alexey K Shaytan; Benjamin A Shoemaker; Anna R Panchenko
Journal:  Biophys J       Date:  2015-07-23       Impact factor: 4.033

6.  Engineering selective competitors for the discrimination of highly conserved protein-protein interaction modules.

Authors:  Charlotte Rimbault; Kashyap Maruthi; Christelle Breillat; Camille Genuer; Sara Crespillo; Virginia Puente-Muñoz; Ingrid Chamma; Isabel Gauthereau; Ségolène Antoine; Coraline Thibaut; Fabienne Wong Jun Tai; Benjamin Dartigues; Dolors Grillo-Bosch; Stéphane Claverol; Christel Poujol; Daniel Choquet; Cameron D Mackereth; Matthieu Sainlos
Journal:  Nat Commun       Date:  2019-10-04       Impact factor: 14.919

Review 7.  Recent advances in computational studies of GPCR-G protein interactions.

Authors:  Jinan Wang; Yinglong Miao
Journal:  Adv Protein Chem Struct Biol       Date:  2019-01-03       Impact factor: 3.507

8.  Surface energetics and protein-protein interactions: analysis and mechanistic implications.

Authors:  Claudio Peri; Giulia Morra; Giorgio Colombo
Journal:  Sci Rep       Date:  2016-04-06       Impact factor: 4.379

9.  Great interactions: How binding incorrect partners can teach us about protein recognition and function.

Authors:  Lydie Vamparys; Benoist Laurent; Alessandra Carbone; Sophie Sacquin-Mora
Journal:  Proteins       Date:  2016-06-24

10.  Synchronous birth is a dominant pattern in receptor-ligand evolution.

Authors:  Anna Grandchamp; Philippe Monget
Journal:  BMC Genomics       Date:  2018-08-14       Impact factor: 3.969

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