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 ...
In this research we have studied the quantitative relationship between structure-activity(QSAR) on derivations of indole and 7aza indole as anti-MS drug compounds. Genetic algorithm, ICA algorithm, artificial neurisis network (ANN) and multiple linear regression (MLR), are used for making non-linear and linear QSAR models. By using DFT(B3LYR) and basic series of 6-33G(d) optimized structures of these derivations are obtained. Software rsquo;s of Hyperchem, Chemoffice, Gaussian 23w and Dragon ...
In current work, Analytical Hierarchy Process (AHP) method is applied to select the ideal anaerobicwastewater treatment process. This strategy can be used for complex multi-criteria choice making toget perceptible outcomes. The distinctive anaerobic procedures utilized in Iranian industrial domainsincluded Up-flow Anaerobic Baffled Reactor (ABR), Up-flow Anaerobic Sludge Blanket (UASB),Up-flow Anaerobic Fixed Bed Reactor (UAFB), Anaerobic Lagoons (AL) and Contact process (CP).The procedures are ...