QSAR Study of Insecticides of Phthalamide Derivatives Using Multiple Linear Regression and Artificial Neural Network Methods

QSAR Study of Insecticides of Phthalamide Derivatives Using Multiple Linear Regression and Artificial Neural Network Methods

Quantitative structure activity relationship (QSAR) for 21 insecticides of phthalamides containing hydrazone (PCH) was studied using multiple linear regression (MLR), principle component regression (PCR) and artificial neural network (ANN). Five descriptors were included in the model for MLR and ANN...

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Bibliographic Details
Main Authors: Adi Syahputra, Mudasir Mudasir, Nuryono Nuryono, Anifuddin Aziz, Iqmal Tahir
Format: Article
Language:English
Published: Universitas Gadjah Mada 2014-03-01
Series:Indonesian Journal of Chemistry
Subjects:
QSAR
phathalamide
hydrazone
multiple linear regression
principle component regression
artificial neural network
Online Access:https://jurnal.ugm.ac.id/ijc/article/view/21273

Internet

https://jurnal.ugm.ac.id/ijc/article/view/21273

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