Kazius-bursi salmonella mutagenicity and carcinogenicity predicted by the base of acute toxicity in quantitative SAR (QSAR)-analysis, by MLR and PNN applied to 13- Thiophosphonates pesticides

Petrescu, Alina-Maria and Ilia, Gheorghe: Kazius-bursi salmonella mutagenicity and carcinogenicity predicted by the base of acute toxicity in quantitative SAR (QSAR)-analysis, by MLR and PNN applied to 13- Thiophosphonates pesticides. Proceedings of the International Symposium on Analytical and Environmental Problems, (21). pp. 264-267. (2015)

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Abstract

In this paper, the acute toxicity, the carcinogenicity potential, and the Kazius-Bursi Salmonella mutagenicity of thirteen compounds were predicted in silico technology by ToxPredict software, for rodent’s species, in a quantitative SAR (QSAR) – analysis. The obtained models demonstrated the dependence of Kazius –Bursi Salmonella mutagenicity and carcinogenicity potential with physical-chemical parameters by MLR (multiple linear regression) and PNN (probabilistic neural network).

Item Type: Article
Journal or Publication Title: Proceedings of the International Symposium on Analytical and Environmental Problems
Date: 2015
Volume: 21
Page Range: pp. 264-267
ISBN: 978-963-306-411-5
Uncontrolled Keywords: Analitikai kémia
Additional Information: Bibliogr.: 267. p. ; összefoglalás angol nyelven
Date Deposited: 2018. Dec. 06. 12:57
Last Modified: 2018. Dec. 06. 12:57
URI: http://acta.bibl.u-szeged.hu/id/eprint/55978

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