Literature DB >> 20806234

Protein-protein docking benchmark version 4.0.

Howook Hwang1, Thom Vreven, Joël Janin, Zhiping Weng.   

Abstract

We updated our protein-protein docking benchmark to include complexes that became available since our previous release. As before, we only considered high-resolution complex structures that are nonredundant at the family-family pair level, for which the X-ray or NMR unbound structures of the constituent proteins are also available. Benchmark 4.0 adds 52 new complexes to the 124 cases of Benchmark 3.0, representing an increase of 42%. Thus, benchmark 4.0 provides 176 unbound-unbound cases that can be used for protein-protein docking method development and assessment. Seventeen of the newly added cases are enzyme-inhibitor complexes, and we found no new antigen-antibody complexes. Classifying the new cases according to expected difficulty for protein-protein docking algorithms gives 33 rigid body cases, 11 cases of medium difficulty, and 8 cases that are difficult. Benchmark 4.0 listings and processed structure files are publicly accessible at http://zlab.umassmed.edu/benchmark/.
© 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20806234      PMCID: PMC2958056          DOI: 10.1002/prot.22830

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


  21 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  SCOP database in 2002: refinements accommodate structural genomics.

Authors:  Loredana Lo Conte; Steven E Brenner; Tim J P Hubbard; Cyrus Chothia; Alexey G Murzin
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.

Authors:  Cyril Dominguez; Rolf Boelens; Alexandre M J J Bonvin
Journal:  J Am Chem Soc       Date:  2003-02-19       Impact factor: 15.419

4.  Structural basis of inhibition revealed by a 1:2 complex of the two-headed tomato inhibitor-II and subtilisin Carlsberg.

Authors:  Isabelle H Barrette-Ng; Kenneth K-S Ng; Maia M Cherney; Gregory Pearce; Clarence A Ryan; Michael N G James
Journal:  J Biol Chem       Date:  2003-04-08       Impact factor: 5.157

5.  ClusPro: an automated docking and discrimination method for the prediction of protein complexes.

Authors:  Stephen R Comeau; David W Gatchell; Sandor Vajda; Carlos J Camacho
Journal:  Bioinformatics       Date:  2004-01-01       Impact factor: 6.937

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

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

7.  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

8.  A protein-protein docking benchmark.

Authors:  Rong Chen; Julian Mintseris; Joël Janin; Zhiping Weng
Journal:  Proteins       Date:  2003-07-01

9.  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

10.  Are scoring functions in protein-protein docking ready to predict interactomes? Clues from a novel binding affinity benchmark.

Authors:  Panagiotis L Kastritis; Alexandre M J J Bonvin
Journal:  J Proteome Res       Date:  2010-05-07       Impact factor: 4.466

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  168 in total

1.  A machine learning approach for the prediction of protein surface loop flexibility.

Authors:  Howook Hwang; Thom Vreven; Troy W Whitfield; Kevin Wiehe; Zhiping Weng
Journal:  Proteins       Date:  2011-06-01

2.  Prediction of protein-protein binding free energies.

Authors:  Thom Vreven; Howook Hwang; Brian G Pierce; Zhiping Weng
Journal:  Protein Sci       Date:  2012-02-02       Impact factor: 6.725

3.  Automatic prediction of flexible regions improves the accuracy of protein-protein docking models.

Authors:  Xiaohu Luo; Qiang Lü; Hongjie Wu; Lingyun Yang; Xu Huang; Peide Qian; Gang Fu
Journal:  J Mol Model       Date:  2011-09-27       Impact factor: 1.810

4.  A structure-based benchmark for protein-protein binding affinity.

Authors:  Panagiotis L Kastritis; Iain H Moal; Howook Hwang; Zhiping Weng; Paul A Bates; Alexandre M J J Bonvin; Joël Janin
Journal:  Protein Sci       Date:  2011-02-16       Impact factor: 6.725

5.  Weak conservation of structural features in the interfaces of homologous transient protein-protein complexes.

Authors:  Govindarajan Sudha; Prashant Singh; Lakshmipuram S Swapna; Narayanaswamy Srinivasan
Journal:  Protein Sci       Date:  2015-09-08       Impact factor: 6.725

6.  Accurate Prediction of Docked Protein Structure Similarity.

Authors:  Bahar Akbal-Delibas; Marc Pomplun; Nurit Haspel
Journal:  J Comput Biol       Date:  2015-09       Impact factor: 1.479

7.  Computational design and experimental verification of a symmetric protein homodimer.

Authors:  Yun Mou; Po-Ssu Huang; Fang-Ciao Hsu; Shing-Jong Huang; Stephen L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-12       Impact factor: 11.205

8.  GPU Optimizations for a Production Molecular Docking Code.

Authors:  Raphael Landaverde; Martin C Herbordt
Journal:  IEEE Conf High Perform Extreme Comput       Date:  2014-09

9.  Cryo-EM Data Are Superior to Contact and Interface Information in Integrative Modeling.

Authors:  Sjoerd J de Vries; Isaure Chauvot de Beauchêne; Christina E M Schindler; Martin Zacharias
Journal:  Biophys J       Date:  2016-02-01       Impact factor: 4.033

10.  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

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