Quantitative Structure-Toxicity Relationship for Predicting Acute Toxicity of Alkylbenzenes

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Abstract:

Acute toxicity is an important toxicological endpoint which poses a great concern being the major determinants of health problem, a quantitative structure toxicity relationship (QSTR) study was performed for the prediction of the acute toxicity of alkylbenzenes. The molecular descriptors of alkylbenzenes have been calculated with semi-empirical AM1 and E-dragon methods, and QSTR model for mice via the oral LD50 model of alkylbenzenes was developed using multiple linear regression (MLR) analysis.

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571-574

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October 2014

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[1] Oberg, T.G. Prediction of vapor pressures for halogenated diphenylether congeners from molecular descriptors [J]. Environmental Science and Pollution Research, 2002 (9) 405-411.

DOI: 10.1007/bf02987590

Google Scholar

[2] Dearden, J.C. Prediction of environmental toxicity and fate using quantitative structure–activity relationships (QSARs) [J]. Journal of the Brazilian Chemical Society, 2002 13 (6) 754-762.

DOI: 10.1590/s0103-50532002000600005

Google Scholar

[3] Simon-Hettich, B., Rothfuss, A., Steger-Hartmann, T. Use of computer-assisted prediction of toxic effects of chemical substances [J]. Toxicology, 2006 224(1-2) 156-162.

DOI: 10.1016/j.tox.2006.04.032

Google Scholar

[4] Patlewicz, G., Rodford, R., Walker, J.D. Quantitative structure-activity relationships for predicting carcinogenicity and carcinogenicity [J]. Environmental Toxicology and Chemistry, 2003 22(8) 1885-1893.

DOI: 10.1897/01-461

Google Scholar

[5] Zhang, X.L. , Zhou, Z.X., Liu, Y. H. Fan, X. ,Li, H. D. ,Wang, J. T. Predicting Acute Toxicity of Aromatic Amines by Linear and Nonlinear Regression Methods[J]. Chinese J. Struct. Chem., 2014 33(2) 244-252.

Google Scholar