Prediction of toxicity of organophosphorus insecticides against the midge, Chironomus riparius, via a QSAR neural network model integrating environmental variables

被引：18

作者：

DeVillers, J ^{[1
]}

机构：

[1] CTIS, F-69140 Rillieux La Pape, France

来源：

TOXICOLOGY METHODS | 2000年 / 10卷 / 01期

关键词：

autocorrelation method; Chironomus riparius; neural network; organophosphorus insecticides; QSAR;

D O I：

10.1080/105172300242562

中图分类号：

R99 [毒物学（毒理学）];

学科分类号：

100405 ;

摘要：

A quantitative structure-activity relationship (QSAR) investigation was done for estimating the toxicity of organophosphorus compounds measured against midge Larvae (Chironomus riparius) under varying temperature (11, 18, and 25 degrees C) and pH (6, 7, and 8) conditions and with or without sediment. Chemicals were described by means of an autocorrelation vector encoding lipophilicity. A three-Layer feedforward neural network trained by the back-propagation algorithm was used as the statistical engine for deriving a powerful QSAR model accounting for environmental constraints.

引用

页码：69 / 79

页数：11