Literature DB >> 16290929

3D-QSAR studies on antitubercular thymidine monophosphate kinase inhibitors based on different alignment methods.

V Aparna1, J Jeevan, M Ravi, G R Desiraju, B Gopalakrishnan.   

Abstract

Three dimensional quantitative structure-activity relationship (3D-QSAR) studies were carried out on deoxythymidine monophosphate (dTMP) derivatives inhibiting thymidine monophosphate kinase (TMPK) in Mycobacterium tuberculosis. Molecular field analysis (MFA) models with three different alignment techniques, namely, least squares, pharmacophore based and receptor based methods were developed. Receptor based MFA model showed better results when compared with least squares and pharmacophore based models. The results help us to understand the nature of substituents required for activity and thereby provide guidelines to design novel and potent inhibitors as antitubercular agents.

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Year:  2005        PMID: 16290929     DOI: 10.1016/j.bmcl.2005.10.086

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  4 in total

1.  3D-Pharmacophore mapping of thymidine-based inhibitors of TMPK as potential antituberculosis agents.

Authors:  Carolina Horta Andrade; Kerly F M Pasqualoto; Elizabeth I Ferreira; Anton J Hopfinger
Journal:  J Comput Aided Mol Des       Date:  2010-03-10       Impact factor: 3.686

2.  A combined molecular modeling study on a series of pyrazole/isoxazole based human Hsp90α inhibitors.

Authors:  Ying Yang; Huanxiang Liu; Juan Du; Jin Qin; Xiaojun Yao
Journal:  J Mol Model       Date:  2011-03-04       Impact factor: 1.810

3.  Structural and chemical basis for enhanced affinity to a series of mycobacterial thymidine monophosphate kinase inhibitors: fragment-based QSAR and QM/MM docking studies.

Authors:  Renata V Bueno; Ney R Toledo; Bruno J Neves; Rodolpho C Braga; Carolina H Andrade
Journal:  J Mol Model       Date:  2012-07-31       Impact factor: 1.810

Review 4.  Computational databases, pathway and cheminformatics tools for tuberculosis drug discovery.

Authors:  Sean Ekins; Joel S Freundlich; Inhee Choi; Malabika Sarker; Carolyn Talcott
Journal:  Trends Microbiol       Date:  2010-12-02       Impact factor: 17.079

  4 in total

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