Literature DB >> 18448325

Evolution and dynamics of protein interactions and networks.

Emmanuel D Levy1, Jose B Pereira-Leal.   

Abstract

The central role of protein-protein interactions (PPIs) in biology has stimulated colossal efforts to identify thousands of them in several organisms. The resulting PPI maps are commonly represented as graphs, where nodes denote proteins and edges represent physical interactions. However, the methods used to generate PPI data on a large scale do not readily allow one to discriminate features such as interaction strength (affinity), type (protein-protein or protein-peptide interaction) or spatiotemporal existence (where and when the proteins are present and interact). Yet, in recent years, a number of studies have tackled these limitations by projecting additional information onto PPIs, revealing novel properties in terms of their evolution and dynamics. In this review we examine these properties both at the binary interaction level and at the network level. We suggest that the diverse and sometimes contradictory results described by different research groups are mostly due to incomplete data coverage and limited data types. Finally, we discuss recently developed methods that will improve this picture in the future.

Mesh:

Substances:

Year:  2008        PMID: 18448325     DOI: 10.1016/j.sbi.2008.03.003

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  41 in total

Review 1.  The Landscape of Intertwined Associations in Homooligomeric Proteins.

Authors:  Shoshana J Wodak; Anatoly Malevanets; Stephen S MacKinnon
Journal:  Biophys J       Date:  2015-09-01       Impact factor: 4.033

2.  Physicochemical principles that regulate the competition between functional and dysfunctional association of proteins.

Authors:  Sebastian Pechmann; Emmanuel D Levy; Gian Gaetano Tartaglia; Michele Vendruscolo
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-05       Impact factor: 11.205

3.  The role of structural disorder in the rewiring of protein interactions through evolution.

Authors:  Roberto Mosca; Roland A Pache; Patrick Aloy
Journal:  Mol Cell Proteomics       Date:  2012-03-02       Impact factor: 5.911

Review 4.  Proteomic and interactomic insights into the molecular basis of cell functional diversity.

Authors:  Isabell Bludau; Ruedi Aebersold
Journal:  Nat Rev Mol Cell Biol       Date:  2020-03-31       Impact factor: 94.444

5.  Duplicability of self-interacting human genes.

Authors:  Asa Pérez-Bercoff; Takashi Makino; Aoife McLysaght
Journal:  BMC Evol Biol       Date:  2010-05-28       Impact factor: 3.260

6.  Accurate characterization of weak macromolecular interactions by titration of NMR residual dipolar couplings: application to the CD2AP SH3-C:ubiquitin complex.

Authors:  Jose Luis Ortega-Roldan; Malene Ringkjøbing Jensen; Bernhard Brutscher; Ana I Azuaga; Martin Blackledge; Nico A J van Nuland
Journal:  Nucleic Acids Res       Date:  2009-04-09       Impact factor: 16.971

7.  Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis.

Authors:  Christian Frech; Michael Kommenda; Viktoria Dorfer; Thomas Kern; Helmut Hintner; Johann W Bauer; Kamil Onder
Journal:  BMC Bioinformatics       Date:  2009-01-19       Impact factor: 3.169

8.  Literature-curated protein interaction datasets.

Authors:  Michael E Cusick; Haiyuan Yu; Alex Smolyar; Kavitha Venkatesan; Anne-Ruxandra Carvunis; Nicolas Simonis; Jean-François Rual; Heather Borick; Pascal Braun; Matija Dreze; Jean Vandenhaute; Mary Galli; Junshi Yazaki; David E Hill; Joseph R Ecker; Frederick P Roth; Marc Vidal
Journal:  Nat Methods       Date:  2009-01       Impact factor: 28.547

9.  Critical assessment of sequence-based protein-protein interaction prediction methods that do not require homologous protein sequences.

Authors:  Yungki Park
Journal:  BMC Bioinformatics       Date:  2009-12-14       Impact factor: 3.169

10.  Evidence for the adaptation of protein pH-dependence to subcellular pH.

Authors:  Pedro Chan; Jim Warwicker
Journal:  BMC Biol       Date:  2009-10-22       Impact factor: 7.431

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