Literature DB >> 15981248

Classification of protein complexes based on docking difficulty.

Sandor Vajda1.   

Abstract

Based on the results of several groups using different docking methods, the key properties that determine the expected success rate in protein-protein docking calculations are measures of conformational change, interface area, and hydrophobicity. A classification of protein complexes in terms of these measures provides a prediction of docking difficulty. This classification is used to study the targets of the CAPRI docking experiment. Results show that targets with a moderate expected difficulty were indeed predicted well by a number of groups, whereas the use of additional a priori information was necessary to obtain good results for some very difficult targets. The analysis indicates that CAPRI and other relatively large-scale docking studies represent very important steps toward understanding the capabilities and limitations of current protein-protein docking methods.

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Year:  2005        PMID: 15981248     DOI: 10.1002/prot.20554

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


  18 in total

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

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2.  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
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Review 3.  Convergence and combination of methods in protein-protein docking.

Authors:  Sandor Vajda; Dima Kozakov
Journal:  Curr Opin Struct Biol       Date:  2009-03-25       Impact factor: 6.809

4.  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

Review 5.  Antibody specific epitope prediction-emergence of a new paradigm.

Authors:  Inbal Sela-Culang; Yanay Ofran; Bjoern Peters
Journal:  Curr Opin Virol       Date:  2015-03-31       Impact factor: 7.090

6.  SymmRef: a flexible refinement method for symmetric multimers.

Authors:  Efrat Mashiach-Farkash; Ruth Nussinov; Haim J Wolfson
Journal:  Proteins       Date:  2011-06-30

7.  Application of asymmetric statistical potentials to antibody-protein docking.

Authors:  Ryan Brenke; David R Hall; Gwo-Yu Chuang; Stephen R Comeau; Tanggis Bohnuud; Dmitri Beglov; Ora Schueler-Furman; Sandor Vajda; Dima Kozakov
Journal:  Bioinformatics       Date:  2012-10-15       Impact factor: 6.937

8.  The ClusPro web server for protein-protein docking.

Authors:  Dima Kozakov; David R Hall; Bing Xia; Kathryn A Porter; Dzmitry Padhorny; Christine Yueh; Dmitri Beglov; Sandor Vajda
Journal:  Nat Protoc       Date:  2017-01-12       Impact factor: 13.491

9.  Protein-protein docking benchmark version 3.0.

Authors:  Howook Hwang; Brian Pierce; Julian Mintseris; Joël Janin; Zhiping Weng
Journal:  Proteins       Date:  2008-11-15

10.  Pushing structural information into the yeast interactome by high-throughput protein docking experiments.

Authors:  Roberto Mosca; Carles Pons; Juan Fernández-Recio; Patrick Aloy
Journal:  PLoS Comput Biol       Date:  2009-08-28       Impact factor: 4.475

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