Title of article :
Understanding the antifungal activity of terbinafine analogues using quantitative structure–activity relationship (qsar) models Original Research Article
Author/Authors :
Vijay M Gokhale، نويسنده , , Vithal M Kulkarni، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2000
Pages :
13
From page :
2487
To page :
2499
Abstract :
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.
Journal title :
Bioorganic and Medicinal Chemistry
Serial Year :
2000
Journal title :
Bioorganic and Medicinal Chemistry
Record number :
1301236
Link To Document :
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