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The Quantitative Structure-Mutagenicity Relationship of Polycylic Aromatic Hydrocarbon Metabolites

机译:多环芳烃代谢产物的定量结构-致突变性关系

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Quantitative structure-activity relationships (QSARs) for benz[a]anthracene (BA) mutagens using 73 descriptors were searched. The mutagenicity data was obtained from Ames assays for Mycobacterium vanbaalenii, Mycobacterium gilvum and Mycobacterium flavescens strains. These data were fitted using a mutagenicity-cytotoxicity competition model which defines the mutagenic potencies of BA metabolites, and include oxides, phenols, quinones, and dihydrodiols. The QSAR equations were derived using the molecular descriptor set (charged partial surface area, spatial, thermodynamic and electronic descriptors) and semi-empirical energetic and charge descriptors. Genetic function approximation was used to reduce and fit independent variables, including linear- and quadratic-based functions. Multiple QSAR equations were generated and a separate QSAR equation was chosen and evaluated for each strain using conventional r2, F-test, and cross-validated r2. Each strain exhibited its own characteristic descriptors.
机译:搜索使用73个描述符的苯并[a]蒽(BA)诱变剂的定量构效关系(QSAR)。诱变性数据是从范氏分枝杆菌,gilvum分枝杆菌和苦参分枝杆菌菌株的Ames分析获得的。使用诱变-细胞毒性竞争模型拟合这些数据,该模型定义了BA代谢产物的诱变能力,包括氧化物,酚,醌和二氢二醇。使用分子描述符集(带电部分表面积,空间,热力学和电子描述符)以及半经验的高能和电荷描述符导出QSAR方程。遗传函数逼近用于减少和拟合独立变量,包括基于线性和二次函数。生成了多个QSAR方程,并选择了一个单独的QSAR方程,并使用常规r2,F检验和交叉验证的r2对每种菌株进行了评估。每个菌株表现出其自己的特征描述符。

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