Literature DB >> 12142443

Docking of protein models.

Andrei Tovchigrechko1, Christopher A Wells, Ilya A Vakser.   

Abstract

An adequate description of entire genomes has to include information on the three-dimensional (3D) structure of proteins. Most of these protein structures will be determined by high-throughput modeling procedures. Thus, a structure-based analysis of the network of protein-protein interactions in genomes requires docking methodologies that are capable of dealing with significant structural inaccuracies in the modeled structures of proteins. We present a systematic study of the applicability of our low-resolution docking method to protein models of different accuracies. A representative nonredundant set of 475 cocrystallized protein-protein complexes was used to build an array of models of each protein in the set. A sophisticated procedure was created to generate the models with RMS deviations of 1, 2, 3,., 10 A from the crystal structure. The docking was performed for all the models, and the predictions were compared with the configurations of the original cocrystallized complexes. Statistical analysis showed that the low-resolution docking can determine the gross structural features of protein-protein interactions for a significant percent of complexes of highly inaccurate protein models. Such predictions may serve as starting points for a more detailed structural analysis, as well as complement experimental and computational data on protein-protein interactions obtained by other techniques.

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Year:  2002        PMID: 12142443      PMCID: PMC2373684          DOI: 10.1110/ps.4730102

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  30 in total

Review 1.  Folding funnels, binding funnels, and protein function.

Authors:  C J Tsai; S Kumar; B Ma; R Nussinov
Journal:  Protein Sci       Date:  1999-06       Impact factor: 6.725

2.  Reaching the global minimum in docking simulations: a Monte Carlo energy minimization approach using Bezier splines.

Authors:  J Y Trosset; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-07       Impact factor: 11.205

Review 3.  Theory of biomolecular recognition.

Authors:  J A McCammon
Journal:  Curr Opin Struct Biol       Date:  1998-04       Impact factor: 6.809

Review 4.  Predictive docking of protein-protein and protein-DNA complexes.

Authors:  M J Sternberg; H A Gabb; R M Jackson
Journal:  Curr Opin Struct Biol       Date:  1998-04       Impact factor: 6.809

5.  Identification of the binding site on cytochrome P450 2B4 for cytochrome b5 and cytochrome P450 reductase.

Authors:  A Bridges; L Gruenke; Y T Chang; I A Vakser; G Loew; L Waskell
Journal:  J Biol Chem       Date:  1998-07-03       Impact factor: 5.157

6.  Evaluation of GRAMM low-resolution docking methodology on the hemagglutinin-antibody complex.

Authors:  I A Vakser
Journal:  Proteins       Date:  1997

7.  Main-chain complementarity in protein-protein recognition.

Authors:  I A Vakser
Journal:  Protein Eng       Date:  1996-09

8.  Construction of a 3D model of cytochrome P450 2B4.

Authors:  Y T Chang; O B Stiffelman; I A Vakser; G H Loew; A Bridges; L Waskell
Journal:  Protein Eng       Date:  1997-02

9.  JOY: protein sequence-structure representation and analysis.

Authors:  K Mizuguchi; C M Deane; T L Blundell; M S Johnson; J P Overington
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

10.  A potential smoothing algorithm accurately predicts transmembrane helix packing.

Authors:  R V Pappu; G R Marshall; J W Ponder
Journal:  Nat Struct Biol       Date:  1999-01
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  30 in total

1.  Protein-protein docking with a reduced protein model accounting for side-chain flexibility.

Authors:  Martin Zacharias
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

2.  A Consensus Data Mining secondary structure prediction by combining GOR V and Fragment Database Mining.

Authors:  Taner Z Sen; Haitao Cheng; Andrzej Kloczkowski; Robert L Jernigan
Journal:  Protein Sci       Date:  2006-09-25       Impact factor: 6.725

3.  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

4.  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

5.  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

6.  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

7.  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

8.  Protein-protein docking using region-based 3D Zernike descriptors.

Authors:  Vishwesh Venkatraman; Yifeng D Yang; Lee Sael; Daisuke Kihara
Journal:  BMC Bioinformatics       Date:  2009-12-09       Impact factor: 3.169

9.  SnugDock: paratope structural optimization during antibody-antigen docking compensates for errors in antibody homology models.

Authors:  Aroop Sircar; Jeffrey J Gray
Journal:  PLoS Comput Biol       Date:  2010-01-22       Impact factor: 4.475

10.  GWIDD: Genome-wide protein docking database.

Authors:  Petras J Kundrotas; Zhengwei Zhu; Ilya A Vakser
Journal:  Nucleic Acids Res       Date:  2009-11-09       Impact factor: 16.971

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