A quantitative structure–activity relationship study of anti-HIV activity of substituted HEPT using nonlinear models

被引：0
作者：
Hadi Noorizadeh
Sami Sajjadifar
Abbas Farmany
机构：
[1] Islamic Azad University,Department of Chemistry, Faculty of Sciences
[2] Payame Noor University,Department of Chemistry
来源：
Medicinal Chemistry Research | 2013年 / 22卷
关键词：
AIDS; Anti-HIV activity; HEPT ligands; QSAR; Genetic algorithm; Levenberg–Marquardt artificial neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We performed studies on extended series of 79 HEPT ligands (1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine), inhibitors of HIV reverse-transcriptase with anti-HIV biological activity, using quantitative structure–activity relationship (QSAR) methods that imply analysis of correlations and representation of models. A suitable set of molecular descriptors was calculated, and the genetic algorithm was employed to select those descriptors which resulted in the best-fit models. The kernel partial least square and Levenberg–Marquardt artificial neural network were utilized to construct the nonlinear QSAR models. The proposed methods will be of great significance in this research, and would be expected to apply to other similar research fields.
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页码：5442 / 5452
页数：10
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