Literature DB >> 16455255

3D-QSAR studies of farnesyltransferase inhibitors: a comparative molecular field analysis approach.

Devendra Puntambekar1, Rajani Giridhar, Mange Ram Yadav.   

Abstract

3D-QSAR analysis has been performed on a series of previously synthesized benzonitrile derivatives, which were screened as farnesyltransferase inhibitors, using comparative molecular field analysis (CoMFA) with partial least-square fit to predict the steric and electrostatic molecular field interactions for the activity. The CoMFA study was carried out using a training set of 34 compounds. The predictive ability of the model developed was assessed using a test set of eight compounds (r(pred)(2) as high as 0.770). The analyzed 3D-QSAR CoMFA model has demonstrated a good fit, having r(2) value of 0.991 and cross-validated coefficient q(2) value as 0.619. The analysis of CoMFA contour maps provided insight into the possible modification of the molecules for better activity.

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Year:  2006        PMID: 16455255     DOI: 10.1016/j.bmcl.2006.01.019

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


  4 in total

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Authors:  Xingyan Luo; Mao Shu; Yuanqiang Wang; Jin Liu; Wenjuan Yang; Zhihua Lin
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Journal:  J Comput Aided Mol Des       Date:  2009-05-29       Impact factor: 3.686

4.  3D-QSAR CoMFA study of some Heteroarylpyrroles as Possible Anticandida Agents.

Authors:  P C Sharma; S V Sharma; Archana Sharma; B Suresh
Journal:  Indian J Pharm Sci       Date:  2008 Mar-Apr       Impact factor: 0.975

  4 in total

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