Literature DB >> 15784265

The relationship between the flexibility of proteins and their conformational states on forming protein-protein complexes with an application to protein-protein docking.

Graham R Smith1, Michael J E Sternberg, Paul A Bates.   

Abstract

We investigate the extent to which the conformational fluctuations of proteins in solution reflect the conformational changes that they undergo when they form binary protein-protein complexes. To do this, we study a set of 41 proteins that form such complexes and whose three-dimensional structures are known, both bound in the complex and unbound. We carry out molecular dynamics simulations of each protein, starting from the unbound structure, and analyze the resulting conformational fluctuations in trajectories of 5 ns in length, comparing with the structure in the complex. It is found that fluctuations take some parts of the molecules into regions of conformational space close to the bound state (or give information about it), but at no point in the simulation does each protein as whole sample the complete bound state. Subsequent use of conformations from a clustered MD ensemble in rigid-body docking is nevertheless partially successful when compared to docking the unbound conformations, as long as the unbound conformations are themselves included with the MD conformations and the whole globally rescored. For one key example where sub-domain motion is present, a ribonuclease inhibitor, principal components analysis of the MD was applied and was also able to produce conformations for docking that gave enhanced results compared to the unbound. The most significant finding is that core interface residues show a tendency to be less mobile (by size of fluctuation or entropy) than the rest of the surface even when the other binding partner is absent, and conversely the peripheral interface residues are more mobile. This surprising result, consistent across up to 40 of the 41 proteins, suggests different roles for these regions in protein recognition and binding, and suggests ways that docking algorithms could be improved by treating these regions differently in the docking process.

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Year:  2005        PMID: 15784265     DOI: 10.1016/j.jmb.2005.01.058

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  46 in total

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Journal:  J Chem Phys       Date:  2010-10-21       Impact factor: 3.488

2.  On the characterization of protein native state ensembles.

Authors:  Amarda Shehu; Lydia E Kavraki; Cecilia Clementi
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3.  Association of putative concave protein-binding sites with the fluctuation behavior of residues.

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Journal:  Protein Sci       Date:  2006-10       Impact factor: 6.725

4.  Characterization of molecular recognition features, MoRFs, and their binding partners.

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Journal:  J Proteome Res       Date:  2007-05-09       Impact factor: 4.466

5.  Restricted mobility of conserved residues in protein-protein interfaces in molecular simulations.

Authors:  Osman N Yogurtcu; S Bora Erdemli; Ruth Nussinov; Metin Turkay; Ozlem Keskin
Journal:  Biophys J       Date:  2008-01-28       Impact factor: 4.033

6.  Accelerating and focusing protein-protein docking correlations using multi-dimensional rotational FFT generating functions.

Authors:  David W Ritchie; Dima Kozakov; Sandor Vajda
Journal:  Bioinformatics       Date:  2008-06-30       Impact factor: 6.937

7.  Correspondences between low-energy modes in enzymes: dynamics-based alignment of enzymatic functional families.

Authors:  Andrea Zen; Vincenzo Carnevale; Arthur M Lesk; Cristian Micheletti
Journal:  Protein Sci       Date:  2008-03-27       Impact factor: 6.725

8.  Pushing the Backbone in Protein-Protein Docking.

Authors:  Daisuke Kuroda; Jeffrey J Gray
Journal:  Structure       Date:  2016-08-25       Impact factor: 5.006

9.  A Model for the Homotypic Interaction between Na+,K+-ATPase β1 Subunits Reveals the Role of Extracellular Residues 221-229 in Its Ig-Like Domain.

Authors:  Omar Páez; Marlet Martínez-Archundia; Nicolás Villegas-Sepúlveda; María Luisa Roldan; José Correa-Basurto; Liora Shoshani
Journal:  Int J Mol Sci       Date:  2019-09-13       Impact factor: 5.923

10.  RosettaAntibody: antibody variable region homology modeling server.

Authors:  Aroop Sircar; Eric T Kim; Jeffrey J Gray
Journal:  Nucleic Acids Res       Date:  2009-05-20       Impact factor: 16.971

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