Literature DB >> 14761803

Novel technologies for virtual screening.

Thomas Lengauer1, Christian Lemmen, Matthias Rarey, Marc Zimmermann.   

Abstract

There are several methods for virtual screening of databases of small organic compounds to find tight binders to a given protein target. Recent reviews in Drug Discovery Today have concentrated on screening by docking and by pharmacophore searching. Here, we complement these reviews by focusing on virtual screening methods that are based on analyzing ligand similarity on a structural level. Specifically, we concentrate on methods that exploit structural properties of the complete ligand molecules, as opposed to using just partial structural templates, such as pharmacophores. The in silico procedure of virtual screening (VS) and its relationship to the experimental procedure, HTS, is discussed, new developments in the field are summarized and perspectives on future research are offered.

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Year:  2004        PMID: 14761803     DOI: 10.1016/S1359-6446(04)02939-3

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


  30 in total

1.  Improvement of comparative model accuracy by free-energy optimization along principal components of natural structural variation.

Authors:  Bin Qian; Angel R Ortiz; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-18       Impact factor: 11.205

2.  A fast surface-matching procedure for protein-ligand docking.

Authors:  Michel E B Yamagishi; Natália F Martins; Goran Neshich; Wensheng Cai; Xueguang Shao; Alexandre Beautrait; Bernard Maigret
Journal:  J Mol Model       Date:  2006-05-04       Impact factor: 1.810

Review 3.  In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

4.  Analysis and use of fragment-occurrence data in similarity-based virtual screening.

Authors:  Shereena M Arif; John D Holliday; Peter Willett
Journal:  J Comput Aided Mol Des       Date:  2009-06-18       Impact factor: 3.686

5.  An improved scoring function for suboptimal polar ligand complexes.

Authors:  Giovanni Cincilla; David Vidal; Miquel Pons
Journal:  J Comput Aided Mol Des       Date:  2008-10-09       Impact factor: 3.686

Review 6.  Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery.

Authors:  Michael R Barnes; Lee Harland; Steven M Foord; Matthew D Hall; Ian Dix; Scott Thomas; Bryn I Williams-Jones; Cory R Brouwer
Journal:  Nat Rev Drug Discov       Date:  2009-07-17       Impact factor: 84.694

7.  Systematic assessment of accuracy of comparative model of proteins belonging to different structural fold classes.

Authors:  Suvobrata Chakravarty; Dario Ghersi; Roberto Sanchez
Journal:  J Mol Model       Date:  2011-02-08       Impact factor: 1.810

8.  GSA: a GPU-accelerated structure similarity algorithm and its application in progressive virtual screening.

Authors:  Xin Yan; Qiong Gu; Feng Lu; Jiabo Li; Jun Xu
Journal:  Mol Divers       Date:  2012-10-19       Impact factor: 2.943

9.  Application of linear discriminant analysis in the virtual screening of antichagasic drugs through trypanothione reductase inhibition.

Authors:  Julián J Prieto; Alan Talevi; Luis E Bruno-Blanch
Journal:  Mol Divers       Date:  2006-09-21       Impact factor: 2.943

10.  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

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