Literature DB >> 19327983

Convergence and combination of methods in protein-protein docking.

Sandor Vajda1, Dima Kozakov.   

Abstract

The analysis of results from Critical Assessment of Predicted Interactions (CAPRI), the first community-wide experiment devoted to protein docking, shows that all successful methods consist of multiple stages. The methods belong to three classes: global methods based on fast Fourier transforms (FFTs) or geometric matching, medium-range Monte Carlo methods, and the restraint-guided High Ambiguity Driven biomolecular DOCKing (HADDOCK) program. Although these classes of methods require very different amounts of information in addition to the structures of component proteins, they all share the same four computational steps: firstly, simplified and/or rigid body search; secondly, selecting the region(s) of interest; thirdly, refinement of docked structures; and fourthly, selecting the best models. Although each method is optimal for a specific class of docking problems, combining computational steps from different methods can improve the reliability and accuracy of results.

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Year:  2009        PMID: 19327983      PMCID: PMC2763924          DOI: 10.1016/j.sbi.2009.02.008

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  40 in total

1.  CAPRI: a Critical Assessment of PRedicted Interactions.

Authors:  Joël Janin; Kim Henrick; John Moult; Lynn Ten Eyck; Michael J E Sternberg; Sandor Vajda; Ilya Vakser; Shoshana J Wodak
Journal:  Proteins       Date:  2003-07-01

2.  Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations.

Authors:  Jeffrey J Gray; Stewart Moughon; Chu Wang; Ora Schueler-Furman; Brian Kuhlman; Carol A Rohl; David Baker
Journal:  J Mol Biol       Date:  2003-08-01       Impact factor: 5.469

3.  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

4.  Improving CAPRI predictions: optimized desolvation for rigid-body docking.

Authors:  Juan Fernández-Recio; Ruben Abagyan; Maxim Totrov
Journal:  Proteins       Date:  2005-08-01

5.  Classification of protein complexes based on docking difficulty.

Authors:  Sandor Vajda
Journal:  Proteins       Date:  2005-08-01

6.  Protein-protein docking with backbone flexibility.

Authors:  Chu Wang; Philip Bradley; David Baker
Journal:  J Mol Biol       Date:  2007-08-02       Impact factor: 5.469

7.  The performance of ZDOCK and ZRANK in rounds 6-11 of CAPRI.

Authors:  Kevin Wiehe; Brian Pierce; Wei Wei Tong; Howook Hwang; Julian Mintseris; Zhiping Weng
Journal:  Proteins       Date:  2007-12-01

8.  A combination of rescoring and refinement significantly improves protein docking performance.

Authors:  Brian Pierce; Zhiping Weng
Journal:  Proteins       Date:  2008-07

9.  Discrimination of near-native structures in protein-protein docking by testing the stability of local minima.

Authors:  Dima Kozakov; Ora Schueler-Furman; Sandor Vajda
Journal:  Proteins       Date:  2008-08-15

10.  Protein docking by the underestimation of free energy funnels in the space of encounter complexes.

Authors:  Yang Shen; Ioannis Ch Paschalidis; Pirooz Vakili; Sandor Vajda
Journal:  PLoS Comput Biol       Date:  2008-10-10       Impact factor: 4.475

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  70 in total

1.  Macromolecular docking restrained by a small angle X-ray scattering profile.

Authors:  Dina Schneidman-Duhovny; Michal Hammel; Andrej Sali
Journal:  J Struct Biol       Date:  2010-10-12       Impact factor: 2.867

2.  Surface-histogram: a new shape descriptor for protein-protein docking.

Authors:  Shengyin Gu; Patrice Koehl; Joel Hass; Nina Amenta
Journal:  Proteins       Date:  2011-11-09

3.  The structural and energetic basis for high selectivity in a high-affinity protein-protein interaction.

Authors:  Nicola A G Meenan; Amit Sharma; Sarel J Fleishman; Colin J Macdonald; Bertrand Morel; Ruth Boetzel; Geoffrey R Moore; David Baker; Colin Kleanthous
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

4.  Integrative structure modeling of macromolecular assemblies from proteomics data.

Authors:  Keren Lasker; Jeremy L Phillips; Daniel Russel; Javier Velázquez-Muriel; Dina Schneidman-Duhovny; Elina Tjioe; Ben Webb; Avner Schlessinger; Andrej Sali
Journal:  Mol Cell Proteomics       Date:  2010-05-27       Impact factor: 5.911

5.  Delineation of the Xrcc4-interacting region in the globular head domain of cernunnos/XLF.

Authors:  Laurent Malivert; Virginie Ropars; Marcela Nunez; Pascal Drevet; Simona Miron; Guilhem Faure; Raphael Guerois; Jean-Paul Mornon; Patrick Revy; Jean-Baptiste Charbonnier; Isabelle Callebaut; Jean-Pierre de Villartay
Journal:  J Biol Chem       Date:  2010-06-17       Impact factor: 5.157

6.  Distributions of experimental protein structures on coarse-grained free energy landscapes.

Authors:  Kannan Sankar; Jie Liu; Yuan Wang; Robert L Jernigan
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

7.  Protein-Protein Docking Using EMAP in CHARMM and Support Vector Machine: Application to Ab/Ag Complexes.

Authors:  Jon D Wright; Karen Sargsyan; Xiongwu Wu; Bernard R Brooks; Carmay Lim
Journal:  J Chem Theory Comput       Date:  2013-08-16       Impact factor: 6.006

8.  Bayesian Active Learning for Optimization and Uncertainty Quantification in Protein Docking.

Authors:  Yue Cao; Yang Shen
Journal:  J Chem Theory Comput       Date:  2020-07-06       Impact factor: 6.006

9.  How good is automated protein docking?

Authors:  Dima Kozakov; Dmitri Beglov; Tanggis Bohnuud; Scott E Mottarella; Bing Xia; David R Hall; Sandor Vajda
Journal:  Proteins       Date:  2013-10-17

10.  Rigid Body Energy Minimization on Manifolds for Molecular Docking.

Authors:  Hanieh Mirzaei; Dmitri Beglov; Ioannis Ch Paschalidis; Sandor Vajda; Pirooz Vakili; Dima Kozakov
Journal:  J Chem Theory Comput       Date:  2012-08-21       Impact factor: 6.006

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