QSAR study of 1- Aminobenzyl-1H-indazole-3-carboxamide Analogues For the treatment of Hepatitis C

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.

Keywords:

antiviral agents , carboxamides , hepatitis C , QSAR