Literature DB >> 19128213

Molecular docking algorithms.

Raquel Dias1, Walter Filgueira de Azevedo.   

Abstract

By means of virtual screening of small molecules databases it is possible to identify new potential inhibitors against a target of interest. Molecular docking is a computer simulation procedure to predict the conformation of a receptor-ligand complex. Each docking program makes use of one or more specific search algorithms, which are the methods used to predict the possible conformations of a binary complex. In the present review we describe several molecular-docking search algorithms, and the programs which apply such methodologies. We also discuss how virtual screening can be optimized, describing methods that may increase accuracy of the simulation process, with relatively fast docking algorithms.

Mesh:

Year:  2008        PMID: 19128213     DOI: 10.2174/138945008786949432

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  21 in total

Review 1.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

Review 2.  Application of NMR and molecular docking in structure-based drug discovery.

Authors:  Jaime L Stark; Robert Powers
Journal:  Top Curr Chem       Date:  2012

3.  A novel view of modelling interactions between synthetic and biological polymers via docking.

Authors:  Vladimir B Tsvetkov; Alexander V Serbin
Journal:  J Comput Aided Mol Des       Date:  2012-12-13       Impact factor: 3.686

4.  Molecular dynamics studies of a hexameric purine nucleoside phosphorylase.

Authors:  Fernando Berton Zanchi; Rafael Andrade Caceres; Rodrigo Guerino Stabeli; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2009-08-11       Impact factor: 1.810

5.  Molecular modeling and dynamics studies of purine nucleoside phosphorylase from Bacteroides fragilis.

Authors:  Ivani Pauli; Luis Fernando Saraiva Macedo Timmers; Rafael Andrade Caceres; Luiz Augusto Basso; Diógenes Santiago Santos; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2009-01-27       Impact factor: 1.810

6.  Semantic similarity for automatic classification of chemical compounds.

Authors:  João D Ferreira; Francisco M Couto
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

7.  A combined bioinformatics and chemoinformatics approach for developing asymmetric bivalent AMPA receptor positive allosteric modulators as neuroprotective agents.

Authors:  Haijun Chen; Cheng Z Wang; Chunyong Ding; Christopher Wild; Bryan Copits; Geoffrey T Swanson; Kenneth M Johnson; Jia Zhou
Journal:  ChemMedChem       Date:  2012-12-20       Impact factor: 3.466

8.  Homology modeling, molecular docking and DNA binding studies of nucleotide excision repair UvrC protein from M. tuberculosis.

Authors:  Rishikesh S Parulekar; Sagar H Barage; Chidambar B Jalkute; Maruti J Dhanavade; Prayagraj M Fandilolu; Kailas D Sonawane
Journal:  Protein J       Date:  2013-08       Impact factor: 2.371

Review 9.  Rational identification of enoxacin as a novel V-ATPase-directed osteoclast inhibitor.

Authors:  Edgardo J Toro; David A Ostrov; Thomas J Wronski; L Shannon Holliday
Journal:  Curr Protein Pept Sci       Date:  2012-03       Impact factor: 3.272

10.  BioDrugScreen: a computational drug design resource for ranking molecules docked to the human proteome.

Authors:  Liwei Li; Khuchtumur Bum-Erdene; Peter H Baenziger; Joshua J Rosen; Jamison R Hemmert; Joy A Nellis; Marlon E Pierce; Samy O Meroueh
Journal:  Nucleic Acids Res       Date:  2009-11-18       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.