Literature DB >> 25914054

AnchorDock: Blind and Flexible Anchor-Driven Peptide Docking.

Avraham Ben-Shimon1, Masha Y Niv2.   

Abstract

The huge conformational space stemming from the inherent flexibility of peptides is among the main obstacles to successful and efficient computational modeling of protein-peptide interactions. Current peptide docking methods typically overcome this challenge using prior knowledge from the structure of the complex. Here we introduce AnchorDock, a peptide docking approach, which automatically targets the docking search to the most relevant parts of the conformational space. This is done by precomputing the free peptide's structure and by computationally identifying anchoring spots on the protein surface. Next, a free peptide conformation undergoes anchor-driven simulated annealing molecular dynamics simulations around the predicted anchoring spots. In the challenging task of a completely blind docking test, AnchorDock produced exceptionally good results (backbone root-mean-square deviation ≤ 2.2Å, rank ≤15) for 10 of 13 unbound cases tested. The impressive performance of AnchorDock supports a molecular recognition pathway that is driven via pre-existing local structural elements.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25914054     DOI: 10.1016/j.str.2015.03.010

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


  22 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.  Protein-small molecule docking with receptor flexibility in iMOLSDOCK.

Authors:  D Sam Paul; N Gautham
Journal:  J Comput Aided Mol Des       Date:  2018-08-20       Impact factor: 3.686

6.  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

7.  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

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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