Literature DB >> 12924581

Quantitative structure-activity relationships for predicting potential ecological hazard of organic chemicals for use in regulatory risk assessments.

Mike H I Comber1, John D Walker, Chris Watts, Joop Hermens.   

Abstract

The use of quantitative structure-activity relationships (QSARs) for deriving the predicted no-effect concentration of discrete organic chemicals for the purposes of conducting a regulatory risk assessment in Europe and the United States is described. In the United States, under the Toxic Substances Control Act (TSCA), the TSCA Interagency Testing Committee and the U.S. Environmental Protection Agency (U.S. EPA) use SARs to estimate the hazards of existing and new chemicals. Within the Existing Substances Regulation in Europe, QSARs may be used for data evaluation, test strategy indications, and the identification and filling of data gaps. To illustrate where and when QSARs may be useful and when their use is more problematic, an example, methyl tertiary-butyl ether (MTBE), is given and the predicted and experimental data are compared. Improvements needed for new QSARs and tools for developing and using QSARs are discussed.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12924581     DOI: 10.1897/01-261

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  3 in total

1.  QSTR with extended topochemical atom (ETA) indices. VI. Acute toxicity of benzene derivatives to tadpoles (Rana japonica).

Authors:  Kunal Roy; Gopinath Ghosh
Journal:  J Mol Model       Date:  2005-10-26       Impact factor: 1.810

2.  Ecotoxicological modeling and risk assessment using chemometric tools.

Authors:  Kunal Roy
Journal:  Mol Divers       Date:  2006-05       Impact factor: 2.943

3.  Indirect Photodegradation of Sulfamethoxazole and Trimethoprim by Hydroxyl Radicals in Aquatic Environment: Mechanisms, Transformation Products and Eco-Toxicity Evaluation.

Authors:  Jiaoxue Yang; Guochun Lv; Chenxi Zhang; Zehua Wang; Xiaomin Sun
Journal:  Int J Mol Sci       Date:  2020-08-30       Impact factor: 5.923

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.