Literature DB >> 18214966

The size of the intermolecular energy funnel in protein-protein interactions.

Jagtar Hunjan1, Andrey Tovchigrechko, Ying Gao, Ilya A Vakser.   

Abstract

Revealing the fundamental principles of protein interactions is essential for the basic knowledge of molecular processes and designing better predictive tools. Protein docking procedures allow systematic sampling of intermolecular energy landscapes, revealing the distribution of energy basins and their characteristics. A systematic search docking procedure GRAMM-X was applied to a comprehensive nonredundant database of nonobligate protein-protein complexes to determine the size of the intermolecular energy funnel. The unbound structures were simulated using rotamer library. The procedure generated grid-based matches, based on a smoothed Lennard-Jones potential, and minimized them off the grid with the same potential. The minimization generated a distribution of distances, based on a variety of metrics, between the grid-based and the minimized matches. The metric selected for the analysis, ligand interface RMSD, provided three independent estimates of the funnel size: based on the distribution amplitude for the near-native matches, deviation from random, and correlation with the energy values. The three methods converge to similar estimates of approximately 6-8 A ligand interface RMSD. The results indicated dependence of the funnel size on the type of the complex (smaller for antigen-antibody, medium for enzyme-inhibitor, and larger for the rest of the complexes) and the funnel size correlation with the size of the interface. Guidelines for the optimal sampling of docking coordinates, based on the funnel size estimates, were explored. 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18214966     DOI: 10.1002/prot.21930

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  16 in total

1.  The ruggedness of protein-protein energy landscape and the cutoff for 1/r(n) potentials.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

2.  Protein-protein alternative binding modes do not overlap.

Authors:  Petras J Kundrotas; Ilya A Vakser
Journal:  Protein Sci       Date:  2013-07-03       Impact factor: 6.725

3.  Structural templates for modeling homodimers.

Authors:  Petras J Kundrotas; Ilya A Vakser; Joël Janin
Journal:  Protein Sci       Date:  2013-09-20       Impact factor: 6.725

4.  Global and local structural similarity in protein-protein complexes: implications for template-based docking.

Authors:  Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2013-10-17

5.  Chasing funnels on protein-protein energy landscapes at different resolutions.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  Biophys J       Date:  2008-05-30       Impact factor: 4.033

Review 6.  Protein-protein docking: from interaction to interactome.

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

7.  Gene ontology improves template selection in comparative protein docking.

Authors:  Anna Hadarovich; Ivan Anishchenko; Alexander V Tuzikov; Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2018-12-27

8.  Structural quality of unrefined models in protein docking.

Authors:  Ivan Anishchenko; Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2016-11-13

9.  Text mining for modeling of protein complexes enhanced by machine learning.

Authors:  Varsha D Badal; Petras J Kundrotas; Ilya A Vakser
Journal:  Bioinformatics       Date:  2021-05-01       Impact factor: 6.937

10.  Accuracy of protein-protein binding sites in high-throughput template-based modeling.

Authors:  Petras J Kundrotas; Ilya A Vakser
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

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