Literature DB >> 15324886

GAsDock: a new approach for rapid flexible docking based on an improved multi-population genetic algorithm.

Honglin Li1, Chunlian Li, Chunshan Gui, Xiaomin Luo, Kaixian Chen, Jianhua Shen, Xicheng Wang, Hualiang Jiang.   

Abstract

Based on an improved multi-population genetic algorithm, a new fast flexible docking program, GAsDock, was developed. The docking accuracy, screening efficiency, and docking speed of GAsDock were evaluated by the docking results of thymidine kinase (TK) and HIV-1 reverse transcriptase (RT) enzyme with 10 available inhibitors of each protein and 990 randomly selected ligands. Nine of the ten known inhibitors of TK were accurately docked into the protein active site, the root-mean-square deviation (RMSD) values between the docking and X-ray crystal structures are less than 1.7A; binding poses (conformation and orientation) of 9 of the 10 known inhibitors of RT were reproduced by GAsDock with RMSD values less than 2.0A. The docking time is approximately in proportion to the number of rotatable bonds of ligands; GAsDock can finish a docking simulation within 60s for a ligand with no more than 20 rotatable bonds. Results indicate that GAsDock is an accurate and remarkably faster docking program in comparison with other docking programs, which is applausive in the application of virtual screening.

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Year:  2004        PMID: 15324886     DOI: 10.1016/j.bmcl.2004.06.091

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  12 in total

1.  GPU acceleration of Dock6's Amber scoring computation.

Authors:  Hailong Yang; Qiongqiong Zhou; Bo Li; Yongjian Wang; Zhongzhi Luan; Depei Qian; Hanlu Li
Journal:  Adv Exp Med Biol       Date:  2010       Impact factor: 2.622

2.  Benchmarking sets for molecular docking.

Authors:  Niu Huang; Brian K Shoichet; John J Irwin
Journal:  J Med Chem       Date:  2006-11-16       Impact factor: 7.446

Review 3.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

Review 4.  Computational drug discovery.

Authors:  Si-Sheng Ou-Yang; Jun-Yan Lu; Xiang-Qian Kong; Zhong-Jie Liang; Cheng Luo; Hualiang Jiang
Journal:  Acta Pharmacol Sin       Date:  2012-08-27       Impact factor: 6.150

5.  An effective docking strategy for virtual screening based on multi-objective optimization algorithm.

Authors:  Honglin Li; Hailei Zhang; Mingyue Zheng; Jie Luo; Ling Kang; Xiaofeng Liu; Xicheng Wang; Hualiang Jiang
Journal:  BMC Bioinformatics       Date:  2009-02-11       Impact factor: 3.169

6.  TarFisDock: a web server for identifying drug targets with docking approach.

Authors:  Honglin Li; Zhenting Gao; Ling Kang; Hailei Zhang; Kun Yang; Kunqian Yu; Xiaomin Luo; Weiliang Zhu; Kaixian Chen; Jianhua Shen; Xicheng Wang; Hualiang Jiang
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

7.  Sanjeevini: a freely accessible web-server for target directed lead molecule discovery.

Authors:  B Jayaram; Tanya Singh; Goutam Mukherjee; Abhinav Mathur; Shashank Shekhar; Vandana Shekhar
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

8.  Cyndi: a multi-objective evolution algorithm based method for bioactive molecular conformational generation.

Authors:  Xiaofeng Liu; Fang Bai; Sisheng Ouyang; Xicheng Wang; Honglin Li; Hualiang Jiang
Journal:  BMC Bioinformatics       Date:  2009-03-31       Impact factor: 3.169

9.  Peptide ligand screening of alpha-synuclein aggregation modulators by in silico panning.

Authors:  Koichi Abe; Natsuki Kobayashi; Koji Sode; Kazunori Ikebukuro
Journal:  BMC Bioinformatics       Date:  2007-11-16       Impact factor: 3.169

10.  In Silico Generation of Peptides by Replica Exchange Monte Carlo: Docking-Based Optimization of Maltose-Binding-Protein Ligands.

Authors:  Anna Russo; Pasqualina Liana Scognamiglio; Rolando Pablo Hong Enriquez; Carlo Santambrogio; Rita Grandori; Daniela Marasco; Antonio Giordano; Giacinto Scoles; Sara Fortuna
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

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