Literature DB >> 12546894

Structure-based virtual screening: an overview.

Paul D Lyne1.   

Abstract

Enormous advances in genomics have resulted in a large increase in the number of potential therapeutic targets that are available for investigation. This growth in potential targets has increased the demand for reliable target validation, as well as technologies that can identify rapidly several quality lead candidates. Virtual screening, and in particular receptor-based virtual screening, has emerged as a reliable, inexpensive method for identifying leads. Although still an evolving method, advances in computational techniques have enabled virtual screening to have a positive impact on the discovery process. Here, the current strengths and weaknesses of the technology are discussed, and emphasis is placed on aspects of the work-flow of a virtual screening campaign, from preparation through to post-screening analysis.

Mesh:

Substances:

Year:  2002        PMID: 12546894     DOI: 10.1016/s1359-6446(02)02483-2

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


  113 in total

1.  Making virtual screening a reality.

Authors:  John T Koh
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-02       Impact factor: 11.205

2.  A novel scoring function for molecular docking.

Authors:  A E Muryshev; D N Tarasov; A V Butygin; O Yu Butygina; A B Aleksandrov; S M Nikitin
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

3.  3D QSAR studies on binding affinities of coumarin natural products for glycosomal GAPDH of Trypanosoma cruzi.

Authors:  Irwin R A Menezes; Julio C D Lopes; Carlos A Montanari; Glaucius Oliva; Fernando Pavão; Marcelo S Castilho; Paulo C Vieira; Mônica T Pupo
Journal:  J Comput Aided Mol Des       Date:  2003 May-Jun       Impact factor: 3.686

4.  Tautomers and topomers: challenging the uncertainties of direct physicochemical modeling.

Authors:  Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2010-03-21       Impact factor: 3.686

5.  ZINC--a free database of commercially available compounds for virtual screening.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2005 Jan-Feb       Impact factor: 4.956

6.  Unsupervised guided docking of covalently bound ligands.

Authors:  Xavier Fradera; Jasmit Kaur; Jordi Mestres
Journal:  J Comput Aided Mol Des       Date:  2004-10       Impact factor: 3.686

7.  Enhancing the accuracy of virtual screening: molecular dynamics with quantum-refined force fields.

Authors:  Alessandro Curioni; Tiziana Mordasini; Wanda Andreoni
Journal:  J Comput Aided Mol Des       Date:  2005-06-27       Impact factor: 3.686

8.  BRUTUS: optimization of a grid-based similarity function for rigid-body molecular superposition. II. Description and characterization.

Authors:  Toni Rönkkö; Anu J Tervo; Jussi Parkkinen; Antti Poso
Journal:  J Comput Aided Mol Des       Date:  2006-07-20       Impact factor: 3.686

9.  A combined ligand-based and target-based drug design approach for G-protein coupled receptors: application to salvinorin A, a selective kappa opioid receptor agonist.

Authors:  Nidhi Singh; Gwénaël Chevé; David M Ferguson; Christopher R McCurdy
Journal:  J Comput Aided Mol Des       Date:  2006-09-29       Impact factor: 3.686

10.  Drug Screening of Potential Multiple Target Inhibitors for Estrogen Receptor-α-positive Breast Cancer.

Authors:  Juan-Cheng Yang; Yang-Chang Wu; Yun-Hao Dai; Guan-Yu Chen; Chih-Hsin Tang; Wei-Chien Huang
Journal:  In Vivo       Date:  2021 Mar-Apr       Impact factor: 2.155

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.