نوعية الحياة لمرضى زراعة الكلى في عيادات وزارة الصحة الفلسطينية في محافظة بيت لحم وشمال الخليل.
Date
2015-07-15
Authors
محمد محمود الجوابرة
Journal Title
Journal ISSN
Volume Title
Publisher
AL-Quds University
جامعة القدس
جامعة القدس
Abstract
QSAR study using the (PC-ANN) methodology was conducted to predict the inhibition
constants of 127 symmetrical and unsymmetrical cyclic urea and cyclic cyanoguanidine
derivatives containing different substituent groups such as: benzyl, isopropyl, 4-
hydroxybenzyl, ketone, oxime, pyrazole, imidazole, triazole and having anti-HIV-1
protease activities. The results obtained by principal component-artificial neural network
provided advanced regression models with good prediction ability. A 0.743 and 0.750
coefficients of determination were obtained using principal component-artificial neural
network.
Description
Keywords
العلوم الصيدلانية , Pharmaceutical Sciences