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用于预测有机化学品对活性污泥微生物毒性的结构与性质-活性关系模型。

Structure- and property-activity relationship models for prediction of microbial toxicity of organic chemicals to activated sludge.

作者信息

Nirmalakhandan N, Egemen E, Trevizo C, Xu S

机构信息

Civil, Agricultural and Geological Engineering Department, New Mexico State University, Las Cruces 88003, USA.

出版信息

Ecotoxicol Environ Saf. 1998 Feb;39(2):112-9. doi: 10.1006/eesa.1997.1615.

Abstract

Two quantitative structure-activity relationship (QSAR) and two quantitative property-activity relationship (QPAR) models reported in the literature for predicting toxicity of synthetic organic chemicals to activated sludge microorganisms are summarized and compared. The QSAR models were developed using solvatochromic parameters and molecular connectivity indices; the QPAR models, using octanol-water partition coefficient and aqueous solubility. Experimental data on 16 chemicals not used in developing the above models are used to compare and evaluate the predictive ability of these QSAR/QPAR models. Based on the quality of the original models, their predictions, ease of application, and availability of model parameters, molecular connectivity indices and log P appear to be the most suitable in toxicity predictions.

摘要

总结并比较了文献中报道的两种用于预测合成有机化学品对活性污泥微生物毒性的定量构效关系(QSAR)模型和两种定量性质-活性关系(QPAR)模型。QSAR模型是利用溶剂化显色参数和分子连接性指数开发的;QPAR模型则是利用正辛醇-水分配系数和水溶性开发的。使用16种未用于上述模型开发的化学品的实验数据来比较和评估这些QSAR/QPAR模型的预测能力。基于原始模型的质量、它们的预测、应用的简易性以及模型参数的可用性,分子连接性指数和log P在毒性预测中似乎是最合适的。

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