Literature DB >> 21572173

Prediction of protein-protein interactions: unifying evolution and structure at protein interfaces.

Nurcan Tuncbag1, Attila Gursoy, Ozlem Keskin.   

Abstract

The vast majority of the chores in the living cell involve protein-protein interactions. Providing details of protein interactions at the residue level and incorporating them into protein interaction networks are crucial toward the elucidation of a dynamic picture of cells. Despite the rapid increase in the number of structurally known protein complexes, we are still far away from a complete network. Given experimental limitations, computational modeling of protein interactions is a prerequisite to proceed on the way to complete structural networks. In this work, we focus on the question 'how do proteins interact?' rather than 'which proteins interact?' and we review structure-based protein-protein interaction prediction approaches. As a sample approach for modeling protein interactions, PRISM is detailed which combines structural similarity and evolutionary conservation in protein interfaces to infer structures of complexes in the protein interaction network. This will ultimately help us to understand the role of protein interfaces in predicting bound conformations.

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Year:  2011        PMID: 21572173     DOI: 10.1088/1478-3975/8/3/035006

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  27 in total

Review 1.  Tools used to study how protein complexes are assembled in signaling cascades.

Authors:  Susan Dwane; Patrick A Kiely
Journal:  Bioeng Bugs       Date:  2011-09-01

2.  Fast and accurate modeling of protein-protein interactions by combining template-interface-based docking with flexible refinement.

Authors:  Nurcan Tuncbag; Ozlem Keskin; Ruth Nussinov; Attila Gursoy
Journal:  Proteins       Date:  2012-01-31

3.  Evaluating template-based and template-free protein-protein complex structure prediction.

Authors:  Thom Vreven; Howook Hwang; Brian G Pierce; Zhiping Weng
Journal:  Brief Bioinform       Date:  2013-07-01       Impact factor: 11.622

4.  The potential impact of recent developments in three-dimensional quantitative interaction proteomics on structural biology.

Authors:  Nurcan Tuncbag; Attila Gursoy; Ozlem Keskin; Ruth Nussinov
Journal:  Expert Rev Proteomics       Date:  2016-05       Impact factor: 3.940

Review 5.  How do dynamic cellular signals travel long distances?

Authors:  Ruth Nussinov
Journal:  Mol Biosyst       Date:  2011-07-18

6.  Elucidating protein inter- and intramolecular interacting domains using chemical cross-linking and matrix-assisted laser desorption ionization-time of flight/time of flight mass spectrometry.

Authors:  Gwënaël Pottiez; Pawel Ciborowski
Journal:  Anal Biochem       Date:  2011-12-13       Impact factor: 3.365

7.  Important factors mediates the adhesion of aspergillus fumigatus to alveolar epithelial cells with E-cadherin.

Authors:  Xiao-Yong Xu; Fei Chen; He Sun; Chen Chen; Bei-Lei Zhao
Journal:  Am J Transl Res       Date:  2016-05-15       Impact factor: 4.060

Review 8.  Prediction and redesign of protein-protein interactions.

Authors:  Rhonald C Lua; David C Marciano; Panagiotis Katsonis; Anbu K Adikesavan; Angela D Wilkins; Olivier Lichtarge
Journal:  Prog Biophys Mol Biol       Date:  2014-05-27       Impact factor: 3.667

9.  PAIRpred: partner-specific prediction of interacting residues from sequence and structure.

Authors:  Fayyaz ul Amir Afsar Minhas; Brian J Geiss; Asa Ben-Hur
Journal:  Proteins       Date:  2013-12-06

10.  Residue-Residue Interaction Prediction via Stacked Meta-Learning.

Authors:  Kuan-Hsi Chen; Yuh-Jyh Hu
Journal:  Int J Mol Sci       Date:  2021-06-15       Impact factor: 5.923

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