Literature DB >> 22959133

Accurate prediction of the toxicity of benzoic acid compounds in mice via oral without using any computer codes.

Mohammad Hossein Keshavarz1, Farhad Gharagheizi, Arash Shokrolahi, Sajjad Zakinejad.   

Abstract

Most of benzoic acid derivatives are toxic, which may cause serious public health and environmental problems. Two novel simple and reliable models are introduced for desk calculations of the toxicity of benzoic acid compounds in mice via oral LD(50) with more reliance on their answers as one could attach to the more complex outputs. They require only elemental composition and molecular fragments without using any computer codes. The first model is based on only the number of carbon and hydrogen atoms, which can be improved by several molecular fragments in the second model. For 57 benzoic compounds, where the computed results of quantitative structure-toxicity relationship (QSTR) were recently reported, the predicted results of two simple models of present method are more reliable than QSTR computations. The present simple method is also tested with further 324 benzoic acid compounds including complex molecular structures, which confirm good forecasting ability of the second model.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22959133     DOI: 10.1016/j.jhazmat.2012.07.048

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

1.  A novel approach for assessment of antitrypanosomal activity of sesquiterpene lactones through additive and non-additive molecular structure parameters.

Authors:  Mohammad Hossein Keshavarz; Zeinab Shirazi; Faezeh Sayehvand
Journal:  Mol Divers       Date:  2022-07-17       Impact factor: 3.364

2.  Sphingobium fuliginis HC3: a novel and robust isolated biphenyl- and polychlorinated biphenyls-degrading bacterium without dead-end intermediates accumulation.

Authors:  Jinxing Hu; Mingrong Qian; Qian Zhang; Jinglan Cui; Chunna Yu; Xiaomei Su; Chaofeng Shen; Muhammad Z Hashmi; Jiyan Shi
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

  2 in total

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