Literature DB >> 15007163

A novel method for scoring of docked protein complexes using predicted protein-protein binding sites.

Kay-Eberhard Gottschalk1, Hani Neuvirth, Gideon Schreiber.   

Abstract

Docking algorithms produce many possible structures of a protein-protein complex. In most cases some of them resemble the correct structure within an r.m.s.d. of <3 A. A major challenge in the field of docking is to extract the correct structure out of this pool, the so-called 'scoring'. Here, we introduce a new scoring function, which discriminates between the many wrong and few true conformations. The scoring function is based on measuring the tightness of fit of the two docked proteins at a predicted binding interface. The location of the binding interface is identified using the recently developed computer algorithm ProMate. The new scoring function does not rely on energy considerations. It is therefore tolerant to low-resolution descriptions of the interface. A linear relation between the score and the r.m.s.d. relative to the 'true structure' is found in most of the cases evaluated. The function was tested on the docking results of 21 complexes in their unbound form. It was found to be successful in 77% of the examined cases, defining success as scoring a 'true' result with a p value of better than 0.1.

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Year:  2004        PMID: 15007163     DOI: 10.1093/protein/gzh021

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  7 in total

1.  dockYard--a repository to assist modeling of protein-protein docking.

Authors:  Pralay Mitra; Debnath Pal
Journal:  J Mol Model       Date:  2010-06-04       Impact factor: 1.810

2.  Physicochemical and residue conservation calculations to improve the ranking of protein-protein docking solutions.

Authors:  Yuhua Duan; Boojala V B Reddy; Yiannis N Kaznessis
Journal:  Protein Sci       Date:  2005-02       Impact factor: 6.725

3.  Consensus scoring for enriching near-native structures from protein-protein docking decoys.

Authors:  Shide Liang; Samy O Meroueh; Guangce Wang; Chao Qiu; Yaoqi Zhou
Journal:  Proteins       Date:  2009-05-01

4.  Combination of scoring schemes for protein docking.

Authors:  Philipp Heuser; Dietmar Schomburg
Journal:  BMC Bioinformatics       Date:  2007-08-01       Impact factor: 3.169

5.  How to use not-always-reliable binding site information in protein-protein docking prediction.

Authors:  Lin Li; Yanzhao Huang; Yi Xiao
Journal:  PLoS One       Date:  2013-10-04       Impact factor: 3.240

6.  Scoring docking conformations using predicted protein interfaces.

Authors:  Reyhaneh Esmaielbeiki; Jean-Christophe Nebel
Journal:  BMC Bioinformatics       Date:  2014-06-06       Impact factor: 3.169

7.  Structural interface parameters are discriminatory in recognising near-native poses of protein-protein interactions.

Authors:  Sony Malhotra; Kannan Sankar; Ramanathan Sowdhamini
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

  7 in total

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