Literature DB >> 16763959

Quantitative structure-activity relationships for the toxicity of organophosphorus and carbamate pesticides to the Rainbow trout Onchorhyncus mykiss.

José M Bermúdez-Saldaña1, Mark T D Cronin.   

Abstract

This study has investigated the development of quantitative structure-activity relationships (QSARs) for the toxicity to rainbow trout Onchorhyncus mykiss Walbaum of 75 organophosphorus and carbamate pesticides. The toxicity data were obtained from an openly available toxicological database and were selected to be representative of a single endpoint. A large number of physicochemical and structural descriptors were calculated for the pesticides. QSAR models were developed using multiple linear regression and partial least-squares analyses. Following the removal of a small number of outliers, predictive QSARs were developed on small numbers of mechanistically relevant descriptors. Applying mechanistic knowledge to the development of QSAR further improved predictivity. Copyright 2006 Society of Chemical Industry.

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Year:  2006        PMID: 16763959     DOI: 10.1002/ps.1233

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  3 in total

1.  A new computational model for the prediction of toxicity of phosphonate derivatives using QSPR.

Authors:  Rosa L Camacho-Mendoza; Eliazar Aquino-Torres; Viviana Cordero-Pensado; Julián Cruz-Borbolla; José G Alvarado-Rodríguez; Pandiyan Thangarasu; Carlos Z Gómez-Castro
Journal:  Mol Divers       Date:  2018-03-12       Impact factor: 2.943

2.  Comparative performance of descriptors in a multiple linear and Kriging models: a case study on the acute toxicity of organic chemicals to algae.

Authors:  Gulcin Tugcu; H Birkan Yilmaz; Melek Türker Saçan
Journal:  Environ Sci Pollut Res Int       Date:  2014-06-21       Impact factor: 4.223

3.  Ensemble machine learning to evaluate the in vivo acute oral toxicity and in vitro human acetylcholinesterase inhibitory activity of organophosphates.

Authors:  Liangliang Wang; Junjie Ding; Peichang Shi; Li Fu; Li Pan; Jiahao Tian; Dongsheng Cao; Hui Jiang; Xiaoqin Ding
Journal:  Arch Toxicol       Date:  2021-05-01       Impact factor: 5.153

  3 in total

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