نوعية الحياة لمرضى زراعة الكلى في عيادات وزارة الصحة الفلسطينية في محافظة بيت لحم وشمال الخليل.

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.