Literature DB >> 24007795

Protein-protein interaction networks: the puzzling riches.

Shoshana J Wodak1, James Vlasblom, Andrei L Turinsky, Shuye Pu.   

Abstract

While major progress has been achieved in the experimental techniques used for the detection of protein interactions and in the processing and analysis of the vast amount of data that they generate, we still do not understand why the set of identified interactions remains so highly dependent on the particular detection method. Here we present an overview of the major high-throughput experimental methods used to detect interactions and the datasets produced using these methods over the last 10 years. We discuss the challenges of assessing the quality of these datasets, and examine key factors that likely underlie the persistent poor overlap between the interactions detected by different methods. Lastly, we present a brief overview of the literature-curated protein interaction data stored in public databases, which are often relied upon for independent validation of newly derived interaction networks.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24007795     DOI: 10.1016/j.sbi.2013.08.002

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


  28 in total

Review 1.  Integration of structural dynamics and molecular evolution via protein interaction networks: a new era in genomic medicine.

Authors:  Avishek Kumar; Brandon M Butler; Sudhir Kumar; S Banu Ozkan
Journal:  Curr Opin Struct Biol       Date:  2015-12-09       Impact factor: 6.809

Review 2.  Protein-protein docking: from interaction to interactome.

Authors:  Ilya A Vakser
Journal:  Biophys J       Date:  2014-10-21       Impact factor: 4.033

3.  Novel Aquaporin Regulatory Mechanisms Revealed by Interactomics.

Authors:  Jorge Bellati; Chloé Champeyroux; Sonia Hem; Valérie Rofidal; Gabriel Krouk; Christophe Maurel; Véronique Santoni
Journal:  Mol Cell Proteomics       Date:  2016-09-08       Impact factor: 5.911

4.  Bacterial Interactomes: Interacting Protein Partners Share Similar Function and Are Validated in Independent Assays More Frequently Than Previously Reported.

Authors:  Maxim Shatsky; Simon Allen; Barbara L Gold; Nancy L Liu; Thomas R Juba; Sonia A Reveco; Dwayne A Elias; Ramadevi Prathapam; Jennifer He; Wenhong Yang; Evelin D Szakal; Haichuan Liu; Mary E Singer; Jil T Geller; Bonita R Lam; Avneesh Saini; Valentine V Trotter; Steven C Hall; Susan J Fisher; Steven E Brenner; Swapnil R Chhabra; Terry C Hazen; Judy D Wall; H Ewa Witkowska; Mark D Biggin; John-Marc Chandonia; Gareth Butland
Journal:  Mol Cell Proteomics       Date:  2016-02-12       Impact factor: 5.911

5.  Performance of ZDOCK and IRAD in CAPRI rounds 39-45.

Authors:  Thom Vreven; Sweta Vangaveti; Tyler M Borrman; Jennifer C Gaines; Zhiping Weng
Journal:  Proteins       Date:  2020-02-08

6.  Integrating Cross-Linking Experiments with Ab Initio Protein-Protein Docking.

Authors:  Thom Vreven; Devin K Schweppe; Juan D Chavez; Chad R Weisbrod; Sayaka Shibata; Chunxiang Zheng; James E Bruce; Zhiping Weng
Journal:  J Mol Biol       Date:  2018-04-14       Impact factor: 5.469

7.  The Balancing Act of Intrinsically Disordered Proteins: Enabling Functional Diversity while Minimizing Promiscuity.

Authors:  Mauricio Macossay-Castillo; Giulio Marvelli; Mainak Guharoy; Aashish Jain; Daisuke Kihara; Peter Tompa; Shoshana J Wodak
Journal:  J Mol Biol       Date:  2019-03-13       Impact factor: 5.469

Review 8.  Bimolecular Fluorescence Complementation (BiFC) Analysis: Advances and Recent Applications for Genome-Wide Interaction Studies.

Authors:  Kristi E Miller; Yeonsoo Kim; Won-Ki Huh; Hay-Oak Park
Journal:  J Mol Biol       Date:  2015-03-12       Impact factor: 5.469

9.  ProB-Site: Protein Binding Site Prediction Using Local Features.

Authors:  Sharzil Haris Khan; Hilal Tayara; Kil To Chong
Journal:  Cells       Date:  2022-07-05       Impact factor: 7.666

10.  Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.

Authors:  Thom Vreven; Iain H Moal; Anna Vangone; Brian G Pierce; Panagiotis L Kastritis; Mieczyslaw Torchala; Raphael Chaleil; Brian Jiménez-García; Paul A Bates; Juan Fernandez-Recio; Alexandre M J J Bonvin; Zhiping Weng
Journal:  J Mol Biol       Date:  2015-07-29       Impact factor: 5.469

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