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基于整体分子描述符的多种化学物质对大型溞急性毒性的定量构效关系分析。

Quantitative structure-activity relationship analysis of acute toxicity of diverse chemicals to Daphnia magna with whole molecule descriptors.

机构信息

Institute of Chemistry, University of Tartu, Estonia.

出版信息

SAR QSAR Environ Res. 2011 Oct;22(7-8):757-74. doi: 10.1080/1062936X.2011.623317. Epub 2011 Oct 14.

DOI:10.1080/1062936X.2011.623317
PMID:21999753
Abstract

Quantitative structure-activity relationship analysis and estimation of toxicological effects at lower-mid trophic levels provide first aid means to understand the toxicity of chemicals. Daphnia magna serves as a good starting point for such toxicity studies and is also recognized for regulatory use in estimating the risk of chemicals. The ECOTOX database was queried and analysed for available data and a homogenous subset of 253 compounds for the endpoint LC50 48 h was established. A four-parameter quantitative structure-activity relationship was derived (coefficient of determination, r (2) = 0.740) for half of the compounds and internally validated (leave-one-out cross-validated coefficient of determination, [Formula: see text] = 0.714; leave-many-out coefficient of determination, [Formula: see text] = 0.738). External validation was carried out with the remaining half of the compounds (coefficient of determination for external validation, [Formula: see text] = 0.634). Two of the descriptors in the model (log P, average bonding information content) capture the structural characteristics describing penetration through bio-membranes. Another two descriptors (energy of highest occupied molecular orbital, weighted partial negative surface area) capture the electronic structural characteristics describing the interaction between the chemical and its hypothetic target in the cell. The applicability domain was subsequently analysed and discussed.

摘要

定量构效关系分析和估计中低营养级的毒理学效应为了解化学物质的毒性提供了急救手段。大型溞(Daphnia magna)是此类毒性研究的良好起点,也被认为是用于估计化学物质风险的监管用途。查询了 ECOTOX 数据库并分析了可用数据,并建立了终点 LC50 48 h 的同质化合物子集 253 个。得出了一个四参数定量构效关系(决定系数 r²=0.740),对一半的化合物进行了内部验证(留一法交叉验证决定系数 [Formula: see text]=0.714;留多法验证决定系数 [Formula: see text]=0.738)。用另一半化合物进行了外部验证(外部验证决定系数 [Formula: see text]=0.634)。模型中的两个描述符(log P,平均键合信息含量)捕捉了描述穿透生物膜的结构特征。另外两个描述符(最高占据分子轨道能量,加权部分负表面积)捕捉了描述化学物质与其在细胞中的假想靶标之间相互作用的电子结构特征。随后对适用域进行了分析和讨论。

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