Literature DB >> 26146186

Fully Blind Peptide-Protein Docking with pepATTRACT.

Christina E M Schindler1, Sjoerd J de Vries1, Martin Zacharias2.   

Abstract

Peptide-protein interactions are ubiquitous in the cell and form an important part of the interactome. Computational docking methods can complement experimental characterization of these complexes, but current protocols are not applicable on the proteome scale. Here, we present a new fully blind flexible peptide-protein docking protocol, pepATTRACT, which combines a rapid coarse-grained global peptide docking search of the entire protein surface with a two-stage atomistic flexible refinement. Global unbound-unbound docking yielded near-native models for 70% of the docking cases when testing the protocol on the largest benchmark of peptide-protein complexes available to date. This performance is similar to that of state-of-the-art local docking protocols that rely on information about the binding site. Upon restricting the search to the peptide binding region, the resulting pepATTRACT-local approach outperformed existing methods. Docking scripts for pepATTRACT and pepATTRACT-local can be generated via a web interface at www.attract.ph.tum.de/peptide.html.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26146186     DOI: 10.1016/j.str.2015.05.021

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  39 in total

1.  Extensive benchmark of rDock as a peptide-protein docking tool.

Authors:  Daniel Soler; Yvonne Westermaier; Robert Soliva
Journal:  J Comput Aided Mol Des       Date:  2019-07-03       Impact factor: 3.686

2.  AutoDock CrankPep: combining folding and docking to predict protein-peptide complexes.

Authors:  Yuqi Zhang; Michel F Sanner
Journal:  Bioinformatics       Date:  2019-12-15       Impact factor: 6.937

3.  Methods for Molecular Modelling of Protein Complexes.

Authors:  Tejashree Rajaram Kanitkar; Neeladri Sen; Sanjana Nair; Neelesh Soni; Kaustubh Amritkar; Yogendra Ramtirtha; M S Madhusudhan
Journal:  Methods Mol Biol       Date:  2021

4.  MDockPeP: An ab-initio protein-peptide docking server.

Authors:  Xianjin Xu; Chengfei Yan; Xiaoqin Zou
Journal:  J Comput Chem       Date:  2018-10-23       Impact factor: 3.376

5.  Peptide Gaussian accelerated molecular dynamics (Pep-GaMD): Enhanced sampling and free energy and kinetics calculations of peptide binding.

Authors:  Jinan Wang; Yinglong Miao
Journal:  J Chem Phys       Date:  2020-10-21       Impact factor: 3.488

6.  Fully Blind Docking at the Atomic Level for Protein-Peptide Complex Structure Prediction.

Authors:  Chengfei Yan; Xianjin Xu; Xiaoqin Zou
Journal:  Structure       Date:  2016-09-15       Impact factor: 5.006

7.  ClusPro in rounds 38 to 45 of CAPRI: Toward combining template-based methods with free docking.

Authors:  Dzmitry Padhorny; Kathryn A Porter; Mikhail Ignatov; Andrey Alekseenko; Dmitri Beglov; Sergei Kotelnikov; Ryota Ashizawa; Israel Desta; Nawsad Alam; Zhuyezi Sun; Emiliano Brini; Ken Dill; Ora Schueler-Furman; Sandor Vajda; Dima Kozakov
Journal:  Proteins       Date:  2020-03-23

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

Authors:  Xianjin Xu; Xiaoqin Zou
Journal:  J Comput Chem       Date:  2019-12-02       Impact factor: 3.376

9.  Protein-peptide docking using CABS-dock and contact information.

Authors:  Maciej Blaszczyk; Maciej Pawel Ciemny; Andrzej Kolinski; Mateusz Kurcinski; Sebastian Kmiecik
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

10.  Modeling beta-sheet peptide-protein interactions: Rosetta FlexPepDock in CAPRI rounds 38-45.

Authors:  Alisa Khramushin; Orly Marcu; Nawsad Alam; Orly Shimony; Dzmitry Padhorny; Emiliano Brini; Ken A Dill; Sandor Vajda; Dima Kozakov; Ora Schueler-Furman
Journal:  Proteins       Date:  2020-01-06
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