Literature DB >> 10669567

Successful virtual screening of a chemical database for farnesyltransferase inhibitor leads.

E Perola1, K Xu, T M Kollmeyer, S H Kaufmann, F G Prendergast, Y P Pang.   

Abstract

Virtual screening of chemical databases is an emerging approach in drug discovery that uses computers to dock chemicals into the active site of a drug target to identify leads through evaluation of binding affinities of the chemicals. However, there are concerns about the validity and scope of the reported virtual screens due to lack of studies to show that randomly selected chemicals are not equally active and due to the fact that metalloproteins were rarely used as drug targets. We have performed a virtual screening of a chemical database to identify prototypic inhibitors of farnesyltransferase (FT) with zinc present in the active site. Among the 21 compounds identified by computers, four inhibited FT in vitro with IC(50) values in the range from 25 to 100 microM. The most potent inhibitor also inhibited FT in human lung cancer cells. In contrast, none of 21 randomly selected compounds have an IC(50) lower than 100 microM. The results demonstrate the validity of virtual screening and the feasibility of applications of this approach to metalloprotein drug targets, such as matrix metalloproteinases, farnesyltransferase, and HIV-1 integrase, for the treatments of cardiovascular diseases, cancers, and AIDS.

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Year:  2000        PMID: 10669567     DOI: 10.1021/jm990408a

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  18 in total

1.  Combinatorial chemistry and high-throughput screening in drug discovery: different strategies and formats.

Authors:  P Seneci; S Miertus
Journal:  Mol Divers       Date:  2000       Impact factor: 2.943

Review 2.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

3.  Multiple-step virtual screening using VSM-G: overview and validation of fast geometrical matching enrichment.

Authors:  Alexandre Beautrait; Vincent Leroux; Matthieu Chavent; Léo Ghemtio; Marie-Dominique Devignes; Malika Smaïl-Tabbone; Wensheng Cai; Xuegang Shao; Gilles Moreau; Peter Bladon; Jianhua Yao; Bernard Maigret
Journal:  J Mol Model       Date:  2008-01-03       Impact factor: 1.810

4.  Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection?

Authors:  Andrew C Good; Tudor I Oprea
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 3.686

5.  Successful molecular dynamics simulation of the zinc-bound farnesyltransferase using the cationic dummy atom approach.

Authors:  Y P Pang; K Xu; J E Yazal; F G Prendergas
Journal:  Protein Sci       Date:  2000-10       Impact factor: 6.725

6.  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

Review 7.  How to do an evaluation: pitfalls and traps.

Authors:  Paul C D Hawkins; Gregory L Warren; A Geoffrey Skillman; Anthony Nicholls
Journal:  J Comput Aided Mol Des       Date:  2008-01-23       Impact factor: 3.686

8.  Molecular Docking: From Lock and Key to Combination Lock.

Authors:  Ashutosh Tripathi; Vytas A Bankaitis
Journal:  J Mol Med Clin Appl       Date:  2017-02-10

9.  Virtual screening to identify lead inhibitors for bacterial NAD synthetase (NADs).

Authors:  Whitney Beysselance Moro; Zhengrong Yang; Tasha A Kane; Christie G Brouillette; Wayne J Brouillette
Journal:  Bioorg Med Chem Lett       Date:  2009-02-12       Impact factor: 2.823

10.  Chemical structure of Retro-2, a compound that protects cells against ribosome-inactivating proteins.

Authors:  Jewn Giew Park; Jennifer Nielsen Kahn; Nilgun E Tumer; Yuan-Ping Pang
Journal:  Sci Rep       Date:  2012-09-05       Impact factor: 4.379

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