Literature DB >> 26231283

Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.

Thom Vreven1, Iain H Moal2, Anna Vangone3, Brian G Pierce1, Panagiotis L Kastritis3, Mieczyslaw Torchala4, Raphael Chaleil4, Brian Jiménez-García2, Paul A Bates5, Juan Fernandez-Recio6, Alexandre M J J Bonvin7, Zhiping Weng8.   

Abstract

We present an updated and integrated version of our widely used protein-protein docking and binding affinity benchmarks. The benchmarks consist of non-redundant, high-quality structures of protein-protein complexes along with the unbound structures of their components. Fifty-five new complexes were added to the docking benchmark, 35 of which have experimentally measured binding affinities. These updated docking and affinity benchmarks now contain 230 and 179 entries, respectively. In particular, the number of antibody-antigen complexes has increased significantly, by 67% and 74% in the docking and affinity benchmarks, respectively. We tested previously developed docking and affinity prediction algorithms on the new cases. Considering only the top 10 docking predictions per benchmark case, a prediction accuracy of 38% is achieved on all 55 cases and up to 50% for the 32 rigid-body cases only. Predicted affinity scores are found to correlate with experimental binding energies up to r=0.52 overall and r=0.72 for the rigid complexes.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  antibody–antigen; binding free energy; conformational change; protein–protein complex structure; protein–protein interface

Mesh:

Substances:

Year:  2015        PMID: 26231283      PMCID: PMC4677049          DOI: 10.1016/j.jmb.2015.07.016

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


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

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

3.  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

4.  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

Review 5.  Scoring functions for protein-protein interactions.

Authors:  Iain H Moal; Rocco Moretti; David Baker; Juan Fernández-Recio
Journal:  Curr Opin Struct Biol       Date:  2013-07-18       Impact factor: 6.809

Review 6.  Protein-protein interaction networks: the puzzling riches.

Authors:  Shoshana J Wodak; James Vlasblom; Andrei L Turinsky; Shuye Pu
Journal:  Curr Opin Struct Biol       Date:  2013-09-02       Impact factor: 6.809

7.  Performance of ZDOCK in CAPRI rounds 20-26.

Authors:  Thom Vreven; Brian G Pierce; Howook Hwang; Zhiping Weng
Journal:  Proteins       Date:  2013-12

8.  CCharPPI web server: computational characterization of protein-protein interactions from structure.

Authors:  Iain H Moal; Brian Jiménez-García; Juan Fernández-Recio
Journal:  Bioinformatics       Date:  2014-09-02       Impact factor: 6.937

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

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

10.  PRISM: protein interactions by structural matching.

Authors:  Utkan Ogmen; Ozlem Keskin; A Selim Aytuna; Ruth Nussinov; Attila Gursoy
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

View more
  91 in total

1.  Integrating ab initio and template-based algorithms for protein-protein complex structure prediction.

Authors:  Sweta Vangaveti; Thom Vreven; Yang Zhang; Zhiping Weng
Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

2.  Structural quality of unrefined models in protein docking.

Authors:  Ivan Anishchenko; Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2016-11-13

3.  Contact Potential for Structure Prediction of Proteins and Protein Complexes from Potts Model.

Authors:  Ivan Anishchenko; Petras J Kundrotas; Ilya A Vakser
Journal:  Biophys J       Date:  2018-08-08       Impact factor: 4.033

Review 4.  What method to use for protein-protein docking?

Authors:  Kathryn A Porter; Israel Desta; Dima Kozakov; Sandor Vajda
Journal:  Curr Opin Struct Biol       Date:  2019-02-01       Impact factor: 6.809

5.  Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking.

Authors:  Daisuke Kuroda; Jeffrey J Gray
Journal:  Bioinformatics       Date:  2016-04-19       Impact factor: 6.937

6.  A knowledge-based scoring function to assess quaternary associations of proteins.

Authors:  Abhilesh S Dhawanjewar; Ankit A Roy; Mallur S Madhusudhan
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

7.  Dockground: A comprehensive data resource for modeling of protein complexes.

Authors:  Petras J Kundrotas; Ivan Anishchenko; Taras Dauzhenka; Ian Kotthoff; Daniil Mnevets; Matthew M Copeland; Ilya A Vakser
Journal:  Protein Sci       Date:  2017-10-10       Impact factor: 6.725

8.  Identifying functionally informative evolutionary sequence profiles.

Authors:  Nelson Gil; Andras Fiser
Journal:  Bioinformatics       Date:  2018-04-15       Impact factor: 6.937

9.  Efficient flexible backbone protein-protein docking for challenging targets.

Authors:  Nicholas A Marze; Shourya S Roy Burman; William Sheffler; Jeffrey J Gray
Journal:  Bioinformatics       Date:  2018-10-15       Impact factor: 6.937

10.  Learning context-aware structural representations to predict antigen and antibody binding interfaces.

Authors:  Srivamshi Pittala; Chris Bailey-Kellogg
Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.