Three-dimensional quantitative structure-activity, relationship modeling of γ-secretase inhibitors using molecular field analysis

被引:4
|
作者
Sammi, Tarnvir [1 ]
Silalkari, Om [1 ]
Ravikumar, Muttineni [2 ]
机构
[1] Punjabi Univ, Dept Pharmaceut Sci & Drug Res, Patiala 147002, Punjab, India
[2] GVK Biosci Pvt Ltd, Hyderabad 500016, Andhra Pradesh, India
关键词
drug design; drug discovery; molecular modeling; therapeutic target;
D O I
10.1111/j.1747-0285.2007.00622.x
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
Three-dimensional quantitative structure-activity relationship analysis of a set of 79 analogs of gamma-secretase inhibitors was performed by molecular field analysis with genetic partial least squares method to investigate the substitutional requirements to derive a predictive model and for the favorable receptor-drug interaction that may be used for the designing of a novel V-secretase inhibitors. The developed molecular field analysis model has a good fit, with r(2) value of 0.952 and cross-validated coefficient, r(cv)(2), value of 0.931. Predictive ability of the developed model was further assessed using test set of 19 compounds and r(pred)(2) was found to be 0.665.
引用
收藏
页码:155 / 166
页数:12
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