Literature DB >> 25149906

Quantitative structure-toxicity relationship (QSTR) studies on the organophosphate insecticides.

Alper Can1.   

Abstract

Organophosphate insecticides are the most commonly used pesticides in the world. In this study, quantitative structure-toxicity relationship (QSTR) models were derived for estimating the acute oral toxicity of organophosphate insecticides to male rats. The 20 chemicals of the training set and the seven compounds of the external testing set were described by means of using descriptors. Descriptors for lipophilicity, polarity and molecular geometry, as well as quantum chemical descriptors for energy were calculated. Model development to predict toxicity of organophosphate insecticides in different matrices was carried out using multiple linear regression. The model was validated internally and externally. In the present study, QSTR model was used for the first time to understand the inherent relationships between the organophosphate insecticide molecules and their toxicity behavior. Such studies provide mechanistic insight about structure-toxicity relationship and help in the design of less toxic insecticides.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

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Keywords:  Multiple linear regression; Organophosphate insecticides; QSTR; Toxicity

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Year:  2014        PMID: 25149906     DOI: 10.1016/j.toxlet.2014.08.016

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  1 in total

1.  Computational chemistry study of toxicity of some m-tolyl acetate derivatives insecticides and molecular design of structurally related products.

Authors:  Nnabuk Okon Eddy; Nsikak Bassey Essien
Journal:  In Silico Pharmacol       Date:  2017-11-17
  1 in total

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