Literature DB >> 33759135

MDock: A Suite for Molecular Inverse Docking and Target Prediction.

Zhiwei Ma1, Xiaoqin Zou2.   

Abstract

Molecular docking is commonly used for identification of drug candidates targeting a specified protein of known structure. With the increasing emphasis on drug repurposing over recent decades, molecular inverse docking has been widely applied to prediction of the potential protein targets of a specified molecule. In practice, inverse docking has many advantages, including early supervision of drugs' side effects and toxicity. MDock developed from our laboratory is a protein-ligand docking software based on a knowledge-based scoring function and has numerous applications to lead identification. In addition to its computational efficiency on ensemble docking for multiple protein conformations, MDock is well suited for inverse docking. In this chapter, we focus on introducing the protocol of inverse docking with MDock. For academic users, the MDock package is freely available at http://zoulab.dalton.missouri.edu/mdock.htm .

Entities:  

Keywords:  In silico screening; Inverse docking; Molecular docking; Scoring function; Target identification

Mesh:

Substances:

Year:  2021        PMID: 33759135     DOI: 10.1007/978-1-0716-1209-5_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  14 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Ligand-protein inverse docking and its potential use in the computer search of protein targets of a small molecule.

Authors:  Y Z Chen; D G Zhi
Journal:  Proteins       Date:  2001-05-01

3.  GalaxySite: ligand-binding-site prediction by using molecular docking.

Authors:  Lim Heo; Woong-Hee Shin; Myeong Sup Lee; Chaok Seok
Journal:  Nucleic Acids Res       Date:  2014-04-21       Impact factor: 16.971

4.  Innovation in the pharmaceutical industry: New estimates of R&D costs.

Authors:  Joseph A DiMasi; Henry G Grabowski; Ronald W Hansen
Journal:  J Health Econ       Date:  2016-02-12       Impact factor: 3.883

5.  The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins.

Authors:  Dima Kozakov; Laurie E Grove; David R Hall; Tanggis Bohnuud; Scott E Mottarella; Lingqi Luo; Bing Xia; Dmitri Beglov; Sandor Vajda
Journal:  Nat Protoc       Date:  2015-04-09       Impact factor: 13.491

6.  idTarget: a web server for identifying protein targets of small chemical molecules with robust scoring functions and a divide-and-conquer docking approach.

Authors:  Jui-Chih Wang; Pei-Ying Chu; Chung-Ming Chen; Jung-Hsin Lin
Journal:  Nucleic Acids Res       Date:  2012-05-30       Impact factor: 16.971

7.  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

8.  PatchDock and SymmDock: servers for rigid and symmetric docking.

Authors:  Dina Schneidman-Duhovny; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

Review 9.  Docking-based inverse virtual screening: methods, applications, and challenges.

Authors:  Xianjin Xu; Marshal Huang; Xiaoqin Zou
Journal:  Biophys Rep       Date:  2018-02-01

10.  An open-source drug discovery platform enables ultra-large virtual screens.

Authors:  Andras Boeszoermenyi; Zi-Fu Wang; Christoph Gorgulla; Patrick D Fischer; Paul W Coote; Krishna M Padmanabha Das; Yehor S Malets; Dmytro S Radchenko; Yurii S Moroz; David A Scott; Konstantin Fackeldey; Moritz Hoffmann; Iryna Iavniuk; Gerhard Wagner; Haribabu Arthanari
Journal:  Nature       Date:  2020-03-09       Impact factor: 49.962

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  1 in total

1.  TAIGET: A small-molecule target identification and annotation web server.

Authors:  Xuxu Wei; Jiarui Yang; Simin Li; Boyuan Li; Mengzhen Chen; Yukang Lu; Xiang Wu; Zeyu Cheng; Xiaoyu Zhang; Zhao Chen; Chunxia Wang; Edwin Wang; Ruiqing Zheng; Xue Xu; Hongcai Shang
Journal:  Front Pharmacol       Date:  2022-08-29       Impact factor: 5.988

  1 in total

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