Literature DB >> 19620099

FRODOCK: a new approach for fast rotational protein-protein docking.

José Ignacio Garzon1, José Ramón Lopéz-Blanco, Carles Pons, Julio Kovacs, Ruben Abagyan, Juan Fernandez-Recio, Pablo Chacon.   

Abstract

MOTIVATION: Prediction of protein-protein complexes from the coordinates of their unbound components usually starts by generating many potential predictions from a rigid-body 6D search followed by a second stage that aims to refine such predictions. Here, we present and evaluate a new method to effectively address the complexity and sampling requirements of the initial exhaustive search. In this approach we combine the projection of the interaction terms into 3D grid-based potentials with the efficiency of spherical harmonics approximations to accelerate the search. The binding energy upon complex formation is approximated as a correlation function composed of van der Waals, electrostatics and desolvation potential terms. The interaction-energy minima are identified by a novel, fast and exhaustive rotational docking search combined with a simple translational scanning. Results obtained on standard protein-protein benchmarks demonstrate its general applicability and robustness. The accuracy is comparable to that of existing state-of-the-art initial exhaustive rigid-body docking tools, but achieving superior efficiency. Moreover, a parallel version of the method performs the docking search in just a few minutes, opening new application opportunities in the current 'omics' world. AVAILABILITY: http://sbg.cib.csic.es/Software/FRODOCK/

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Year:  2009        PMID: 19620099      PMCID: PMC2800348          DOI: 10.1093/bioinformatics/btp447

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  33 in total

1.  Protein docking using spherical polar Fourier correlations.

Authors:  D W Ritchie; G J Kemp
Journal:  Proteins       Date:  2000-05-01

2.  Electrostatics in protein-protein docking.

Authors:  Alexander Heifetz; Ephraim Katchalski-Katzir; Miriam Eisenstein
Journal:  Protein Sci       Date:  2002-03       Impact factor: 6.725

Review 3.  Protein-protein association kinetics and protein docking.

Authors:  Carlos J Camacho; Sandor Vajda
Journal:  Curr Opin Struct Biol       Date:  2002-02       Impact factor: 6.809

4.  Fast rotational matching.

Authors:  Julio A Kovacs; Willy Wriggers
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2002-07-20

5.  ZDOCK: an initial-stage protein-docking algorithm.

Authors:  Rong Chen; Li Li; Zhiping Weng
Journal:  Proteins       Date:  2003-07-01

6.  Assessment of blind predictions of protein-protein interactions: current status of docking methods.

Authors:  Raúl Méndez; Raphaël Leplae; Leonardo De Maria; Shoshana J Wodak
Journal:  Proteins       Date:  2003-07-01

7.  Identification of protein-protein interaction sites from docking energy landscapes.

Authors:  Juan Fernández-Recio; Maxim Totrov; Ruben Abagyan
Journal:  J Mol Biol       Date:  2004-01-16       Impact factor: 5.469

8.  Fast rotational matching of rigid bodies by fast Fourier transform acceleration of five degrees of freedom.

Authors:  Julio A Kovacs; Pablo Chacón; Yao Cong; Essam Metwally; Willy Wriggers
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2003-07-23

9.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

Authors:  E Katchalski-Katzir; I Shariv; M Eisenstein; A A Friesem; C Aflalo; I A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

10.  Large-scale structural modeling of protein complexes at low resolution.

Authors:  Zhengwei Zhu; Andrey Tovchigrechko; Tatiana Baronova; Ying Gao; Dominique Douguet; Nicholas O'Toole; Ilya A Vakser
Journal:  J Bioinform Comput Biol       Date:  2008-08       Impact factor: 1.122

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  42 in total

1.  NONUNIFORM FOURIER TRANSFORMS FOR RIGID-BODY AND MULTI-DIMENSIONAL ROTATIONAL CORRELATIONS.

Authors:  Chandrajit Bajaj; Benedikt Bauer; Radhakrishna Bettadapura; Antje Vollrath
Journal:  SIAM J Sci Comput       Date:  2013-07-01       Impact factor: 2.373

2.  On the analysis of protein-protein interactions via knowledge-based potentials for the prediction of protein-protein docking.

Authors:  Elisenda Feliu; Patrick Aloy; Baldo Oliva
Journal:  Protein Sci       Date:  2011-03       Impact factor: 6.725

3.  Computational Methods for the Elucidation of Protein Structure and Interactions.

Authors:  Nicholas S Edmunds; Liam J McGuffin
Journal:  Methods Mol Biol       Date:  2021

Review 4.  Software for molecular docking: a review.

Authors:  Nataraj S Pagadala; Khajamohiddin Syed; Jack Tuszynski
Journal:  Biophys Rev       Date:  2017-01-16

5.  Protein-protein docking by fast generalized Fourier transforms on 5D rotational manifolds.

Authors:  Dzmitry Padhorny; Andrey Kazennov; Brandon S Zerbe; Kathryn A Porter; Bing Xia; Scott E Mottarella; Yaroslav Kholodov; David W Ritchie; Sandor Vajda; Dima Kozakov
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-13       Impact factor: 11.205

6.  Disentangling the molecular determinants for Cenp-F localization to nuclear pores and kinetochores.

Authors:  Alessandro Berto; Jinchao Yu; Stéphanie Morchoisne-Bolhy; Chiara Bertipaglia; Richard Vallee; Julien Dumont; Francoise Ochsenbein; Raphael Guerois; Valérie Doye
Journal:  EMBO Rep       Date:  2018-04-09       Impact factor: 8.807

7.  Exploiting conformational ensembles in modeling protein-protein interactions on the proteome scale.

Authors:  Guray Kuzu; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
Journal:  J Proteome Res       Date:  2013-04-30       Impact factor: 4.466

8.  Predicting protein-DNA interactions by full search computational docking.

Authors:  Victoria A Roberts; Michael E Pique; Lynn F Ten Eyck; Sheng Li
Journal:  Proteins       Date:  2013-10-18

9.  DOT2: Macromolecular docking with improved biophysical models.

Authors:  Victoria A Roberts; Elaine E Thompson; Michael E Pique; Martin S Perez; L F Ten Eyck
Journal:  J Comput Chem       Date:  2013-05-21       Impact factor: 3.376

10.  Scoring protein interaction decoys using exposed residues (SPIDER): a novel multibody interaction scoring function based on frequent geometric patterns of interfacial residues.

Authors:  Raed Khashan; Weifan Zheng; Alexander Tropsha
Journal:  Proteins       Date:  2012-06-07
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