کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
443771 692766 2006 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A neural networks-based drug discovery approach and its application for designing aldose reductase inhibitors
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
A neural networks-based drug discovery approach and its application for designing aldose reductase inhibitors
چکیده انگلیسی

A novel approach that combines neural networks, computer docking and quantum mechanical method is developed to design potent aldose reductase inhibitors (ARIs). Neural networks is employed to determine the quantitative structure–activity relationship (QSAR) among the known ARIs. The physical descriptors of the neural networks, such as electronegativity and molar volume, are evaluated with first-principles quantum mechanical method. Based on the QSAR, new candidates for ARI are predicted, and subsequently screened via computer docking technique. The surviving candidates are further tested via quantum mechanical calculation for their bindings to aldose reductase. We find that the best 49 predicted ARI candidates have better calculated binding energies than those of experimentally known drug candidates.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Molecular Graphics and Modelling - Volume 24, Issue 4, January 2006, Pages 244–253
نویسندگان
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