Structural alerts -: A new classification model to discriminate excess toxicity from narcotic effect levels of organic compounds in the acute daphnid assay

被引:151
作者
von der Ohe, PC [1 ]
Kühne, R [1 ]
Ebert, RU [1 ]
Altenburger, R [1 ]
Liess, M [1 ]
Schüürmann, G [1 ]
机构
[1] UFZ Helmholtz Ctr Environm Res, Dept Chem Ecotoxicol, D-04318 Leipzig, Germany
关键词
D O I
10.1021/tx0497954
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Quantitative and qualitative structure-activity relationships (QSARs) have a great potential to support the risk assessment of chemicals, provided there are tools available that allow evaluation of the suitability of QSARs for the compounds of interest. In this context, a pragmatic approach is to discriminate excess toxicity from narcotic effect levels, because the latter can be estimated from QSARs and thus have a low priority for experimental testing. To develop a respective scheme for the acute daphnid toxicity as one of the primary ecotoxicological endpoints, 1067 acute toxicity data entries for 380 chemicals involving the daphnid species Daphnia magna were taken from the on-line literature, and quality checks such as water solubility were employed to eliminate apparently odd data entries. For 36 known narcotics with LC50 values referring to D. magna, a reference baseline QSAR is derived. Compounds with LC50 values above a certain threshold defined relative to their predicted baseline toxicity are classified as exerting excess toxicity. Three simple discrimination schemes are presented that enable the identification of excess toxicity from structural alerts based on the presence or absence of certain heteroatoms and their chemical functionality. Moreover, a two-step classification approach is introduced that enables a prioritization of organic compounds with respect to their need for experimental testing. The discussion includes reaction mechanisms that may explain the association of structural alerts with excess toxicity, a comparison with predictions derived from mode of action-based classification schemes, and a statistical analysis of the discrimination performance in terms of detailed contingency table statistics.
引用
收藏
页码:536 / 555
页数:20
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