Literature DB >> 25801181

Exploring the potential of global protein-protein docking: an overview and critical assessment of current programs for automatic ab initio docking.

Sheng-You Huang1.   

Abstract

Protein-protein docking is an important computational tool for studying protein-protein interactions. A variety of docking programs with different sampling algorithms and scoring functions as well as computational efficiencies have been subsequently developed over the last decades. Here, we have reviewed the trend and performance of current global docking programs through a comprehensive assessment of the 18 docking/scoring protocols of 14 global docking programs on the latest protein docking benchmark 4.0. The effects of docking algorithms, interaction types, and conformational changes on the docking performance were investigated and discussed. The findings are expected to provide a general guideline for the choice of an appropriate docking protocol and offer insights into the optimization and development of docking and scoring algorithms.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25801181     DOI: 10.1016/j.drudis.2015.03.007

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  20 in total

1.  HNADOCK: a nucleic acid docking server for modeling RNA/DNA-RNA/DNA 3D complex structures.

Authors:  Jiahua He; Jun Wang; Huanyu Tao; Yi Xiao; Sheng-You Huang
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

2.  HDOCK: a web server for protein-protein and protein-DNA/RNA docking based on a hybrid strategy.

Authors:  Yumeng Yan; Di Zhang; Pei Zhou; Botong Li; Sheng-You Huang
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

3.  Determination of an effective scoring function for RNA-RNA interactions with a physics-based double-iterative method.

Authors:  Yumeng Yan; Zeyu Wen; Di Zhang; Sheng-You Huang
Journal:  Nucleic Acids Res       Date:  2018-05-18       Impact factor: 16.971

4.  The HDOCK server for integrated protein-protein docking.

Authors:  Yumeng Yan; Huanyu Tao; Jiahua He; Sheng-You Huang
Journal:  Nat Protoc       Date:  2020-04-08       Impact factor: 13.491

5.  Introducing a Clustering Step in a Consensus Approach for the Scoring of Protein-Protein Docking Models.

Authors:  Edrisse Chermak; Renato De Donato; Marc F Lensink; Andrea Petta; Luigi Serra; Vittorio Scarano; Luigi Cavallo; Romina Oliva
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

6.  Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking.

Authors:  Alexander Sasse; Sjoerd J de Vries; Christina E M Schindler; Isaure Chauvot de Beauchêne; Martin Zacharias
Journal:  PLoS One       Date:  2017-01-24       Impact factor: 3.240

7.  IRaPPA: information retrieval based integration of biophysical models for protein assembly selection.

Authors:  Iain H Moal; Didier Barradas-Bautista; Brian Jiménez-García; Mieczyslaw Torchala; Arjan van der Velde; Thom Vreven; Zhiping Weng; Paul A Bates; Juan Fernández-Recio
Journal:  Bioinformatics       Date:  2017-06-15       Impact factor: 6.937

8.  GalaxyHeteromer: protein heterodimer structure prediction by template-based and ab initio docking.

Authors:  Taeyong Park; Jonghun Won; Minkyung Baek; Chaok Seok
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

9.  Predicted binding site information improves model ranking in protein docking using experimental and computer-generated target structures.

Authors:  Surabhi Maheshwari; Michal Brylinski
Journal:  BMC Struct Biol       Date:  2015-11-23

10.  InterEvDock: a docking server to predict the structure of protein-protein interactions using evolutionary information.

Authors:  Jinchao Yu; Marek Vavrusa; Jessica Andreani; Julien Rey; Pierre Tufféry; Raphaël Guerois
Journal:  Nucleic Acids Res       Date:  2016-04-29       Impact factor: 16.971

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