Understanding the antifungal activity of terbinafine analogues using quantitative structure-activity relationship (QSAR) models

被引:48
作者
Gokhale, VM [1 ]
Kulkarni, VM [1 ]
机构
[1] Univ Mumbai, Dept Chem Technol, Div Pharmaceut, Mumbai 400019, India
关键词
D O I
10.1016/S0968-0896(00)00178-4
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Terbinafine and its analogues, which are a major class of non-azole antifungal agents, are known to act by inhibition of squalene epoxidase enzyme in fungal cells. We have performed a quantitative structure-activity relationship (QSAR) study on a series of 92 molecules using different types of physicochemical descriptors. Inhibitors were divided into five classes depending upon chemical structure. QSAR models were generated for correlation between antifungal activity against Candida albicans using genetic function approximation (GFA) technique. Equations were evaluated using internal as well as external test set predictions. Models generated for all these classes show that steric properties and conformational rigidity of side chains play an important role for the activity. The present QSAR analysis agrees with the results of the previously reported CoMFA study. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2487 / 2499
页数:13
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