Artificial neural network prediction of the psychometric activities of phenylalkylamines using DFT-calculated molecular descriptors

In the present work, a quantitative structure–activity relationship (QSAR) method was used to predict the psychometric activity values (as mescaline unit, log MU) of 48 phenylalkylamine derivatives from their density functional theory (DFT) calculated molecular descriptors and an artificial neural n...

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Bibliographic Details
Main Authors: MINA HAGHDADI, MOHAMMAD H. FATEMI
Format: Article
Language:English
Published: Serbian Chemical Society 2010-10-01
Series:Journal of the Serbian Chemical Society
Subjects:
Online Access:http://www.shd.org.rs/JSCS/Vol75/No10/08_4750_4061.pdf