مرجـع دانـش پارس

نوع فایل:PDF

تعداد صفحات :9

سال انتشار : 1394

چکیده

In this work quantitative structure-activity relationship (QSAR) study has been done on 1- Aminobenzyl-1H-indazole-3-carboxamide Analogues as anti-Hepatitis C drugs. Genetic algorithm (GA), artificial neural network (ANN) were used to create QSAR models. The root-mean square errors of the training set and the test set for GA models using the jack-knife method, were 741.73, 741375and R0 = 7.68. The results obtained from this work indicate that ANN and GA models are more effective than other statistical methods and exhibit reasonable prediction capabilities.

واژگان کلیدی

antiviral agents, carboxamides, hepatitis C, QSAR