Literature DB >> 31793016

PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide-Protein Computational Docking.

Xianjin Xu1,2,3,4, Xiaoqin Zou1,2,3,4.   

Abstract

We present a nonredundant benchmark, coined PepPro, for testing peptide-protein docking algorithms. Currently, PepPro contains 89 nonredundant experimentally determined peptide-protein complex structures, with peptide sequence lengths ranging from 5 to 30 amino acids. The benchmark covers peptides with distinct secondary structures, including helix, partial helix, a mixture of helix and β-sheet, β-sheet formed through binding, β-sheet formed through self-folding, and coil. In addition, unbound proteins' structures are provided for 58 complexes and can be used for testing the ability of a docking algorithm handling the conformational changes of proteins during the binding process. PepPro should benefit the docking community for the development and improvement of peptide docking algorithms. The benchmark is available at http://zoulab.dalton.missouri.edu/PepPro_benchmark.
© 2019 Wiley Periodicals, Inc. © 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  benchmark; peptide docking; protein-peptide complexes; protein-peptide docking; protein-peptide interactions

Mesh:

Substances:

Year:  2019        PMID: 31793016      PMCID: PMC7447090          DOI: 10.1002/jcc.26114

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  34 in total

1.  Peptide-mediated interactions in biological systems: new discoveries and applications.

Authors:  Evangelia Petsalaki; Robert B Russell
Journal:  Curr Opin Biotechnol       Date:  2008-07-12       Impact factor: 9.740

Review 2.  Reaching for high-hanging fruit in drug discovery at protein-protein interfaces.

Authors:  James A Wells; Christopher L McClendon
Journal:  Nature       Date:  2007-12-13       Impact factor: 49.962

Review 3.  Peptide docking and structure-based characterization of peptide binding: from knowledge to know-how.

Authors:  Nir London; Barak Raveh; Ora Schueler-Furman
Journal:  Curr Opin Struct Biol       Date:  2013-10-15       Impact factor: 6.809

Review 4.  Druggable protein-protein interactions--from hot spots to hot segments.

Authors:  Nir London; Barak Raveh; Ora Schueler-Furman
Journal:  Curr Opin Chem Biol       Date:  2013-10-31       Impact factor: 8.822

5.  AnchorDock: Blind and Flexible Anchor-Driven Peptide Docking.

Authors:  Avraham Ben-Shimon; Masha Y Niv
Journal:  Structure       Date:  2015-04-23       Impact factor: 5.006

6.  LEADS-PEP: A Benchmark Data Set for Assessment of Peptide Docking Performance.

Authors:  Alexander Sebastian Hauser; Björn Windshügel
Journal:  J Chem Inf Model       Date:  2016-01-11       Impact factor: 4.956

7.  Hierarchical Flexible Peptide Docking by Conformer Generation and Ensemble Docking of Peptides.

Authors:  Pei Zhou; Botong Li; Yumeng Yan; Bowen Jin; Libang Wang; Sheng-You Huang
Journal:  J Chem Inf Model       Date:  2018-05-21       Impact factor: 4.956

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

Authors:  Thom Vreven; Iain H Moal; Anna Vangone; Brian G Pierce; Panagiotis L Kastritis; Mieczyslaw Torchala; Raphael Chaleil; Brian Jiménez-García; Paul A Bates; Juan Fernandez-Recio; Alexandre M J J Bonvin; Zhiping Weng
Journal:  J Mol Biol       Date:  2015-07-29       Impact factor: 5.469

Review 9.  Short linear motifs: ubiquitous and functionally diverse protein interaction modules directing cell regulation.

Authors:  Kim Van Roey; Bora Uyar; Robert J Weatheritt; Holger Dinkel; Markus Seiler; Aidan Budd; Toby J Gibson; Norman E Davey
Journal:  Chem Rev       Date:  2014-06-13       Impact factor: 60.622

10.  CABS-dock web server for the flexible docking of peptides to proteins without prior knowledge of the binding site.

Authors:  Mateusz Kurcinski; Michal Jamroz; Maciej Blaszczyk; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Nucleic Acids Res       Date:  2015-05-05       Impact factor: 16.971

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  4 in total

1.  Predicting Protein-Peptide Complex Structures by Accounting for Peptide Flexibility and the Physicochemical Environment.

Authors:  Xianjin Xu; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2021-12-21       Impact factor: 6.162

2.  Improving Docking Power for Short Peptides Using Random Forest.

Authors:  Michel F Sanner; Leonard Dieguez; Stefano Forli; Ewa Lis
Journal:  J Chem Inf Model       Date:  2021-06-14       Impact factor: 6.162

3.  Propedia: a database for protein-peptide identification based on a hybrid clustering algorithm.

Authors:  Pedro M Martins; Lucianna H Santos; Diego Mariano; Felippe C Queiroz; Luana L Bastos; Isabela de S Gomes; Pedro H C Fischer; Rafael E O Rocha; Sabrina A Silveira; Leonardo H F de Lima; Mariana T Q de Magalhães; Maria G A Oliveira; Raquel C de Melo-Minardi
Journal:  BMC Bioinformatics       Date:  2021-01-02       Impact factor: 3.169

4.  Prediction and Modeling of Protein-Protein Interactions Using "Spotted" Peptides with a Template-Based Approach.

Authors:  Chiara Gasbarri; Serena Rosignoli; Giacomo Janson; Dalila Boi; Alessandro Paiardini
Journal:  Biomolecules       Date:  2022-01-25
  4 in total

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