有机化学品生物富集因子定量结构-活性关系模型

郑玉婷; 乔显亮; 于洋; 林军; 丁琼

doi:10.7524/AJE.1673-5897.20180718002

生态毒理学报

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郑玉婷, 乔显亮, 于洋, 林军, 丁琼. 有机化学品生物富集因子定量结构-活性关系模型[J]. 生态毒理学报, 2019, 14(2): 214-221. doi: 10.7524/AJE.1673-5897.20180718002

引用本文:

郑玉婷, 乔显亮, 于洋, 林军, 丁琼. 有机化学品生物富集因子定量结构-活性关系模型[J]. 生态毒理学报, 2019, 14(2): 214-221. doi: 10.7524/AJE.1673-5897.20180718002

Zheng Yuting, Qiao Xianliang, Yu Yang, Lin Jun, Ding Qiong. Quantitative Structure-Activity Relationship Model for Bioconcentration Factors of Organic Chemicals[J]. Asian Journal of Ecotoxicology, 2019, 14(2): 214-221. doi: 10.7524/AJE.1673-5897.20180718002

Citation:

Zheng Yuting, Qiao Xianliang, Yu Yang, Lin Jun, Ding Qiong. Quantitative Structure-Activity Relationship Model for Bioconcentration Factors of Organic Chemicals[J]. Asian Journal of Ecotoxicology, 2019, 14(2): 214-221. doi: 10.7524/AJE.1673-5897.20180718002

有机化学品生物富集因子定量结构-活性关系模型

1. 环境保护部固体废物与化学品管理技术中心, 北京 100029;
2. 大连理工大学环境学院工业生态与环境工程教育部重点实验室, 大连 116024

作者简介: 郑玉婷(1989-),女,工程师,研究方向为化学品环境风险管理,E-mail:zhengyuting@mepscc.cn

中图分类号: X171.5

Quantitative Structure-Activity Relationship Model for Bioconcentration Factors of Organic Chemicals

1. Solid Waste and Chemicals Management Center, MEP, Beijing 100029, China;
2. Key Laboratory of Industrial Ecology and Environmental Engineering(MOE), Department of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China

摘要: 依据经济合作与发展组织(OECD)关于定量结构-活性关系(QSAR)模型构建和使用导则，将780个有机化合物，以4:1的比例随机划分为训练集(624个化合物)和验证集(156个化合物)，通过多元线性回归(MLR)方法构建了一个包含12个描述符的有机化合物鱼类生物富集因子(BCF)的QSAR模型。QSAR模型的调整决定系数R_adj²=0.809，去一法交叉验证系数Q_LOO²=0.803，外部验证系数Q_EXT²=0.732，表明模型具有较好的拟合优度、稳健性和预测能力。采用欧几里德距离方法表征模型应用域，通过威廉姆斯图分析模型离群点，并对模型进行机理解释。所构建的模型，可以用于预测应用域内有机化学品的生物富集因子。
- 有机化学品 /
- 生物富集因子 /
- 定量结构-活性关系
Abstract: According to the principles of development and validation for quantitative structure-activity relationship (QSAR) proposed by Organization for Economic Cooperation and Development (OECD), a QSAR model of bioconcentration factors in fish was built. 780 organic compounds were randomly divided into training set (624 compounds) and validation set (156 compounds) at a ratio of 4:1. The method that developed the model with 12 molecular descriptors was multiple linear regressions (MLR). The adjusted coefficient of determination (R_adj²), the leave-one-out cross validated coefficient (Q_LOO²) and external explained variance (Q_EXT²) was 0.809, 0.803 and 0.732, respectively. It is indicated that the model had satisfied goodness-of-fit, robustness and predictive ability. The application domain of the model was characterized by the Euclidean distance, outliers were analyzed by Williams and mechanism was interpreted subsequently. The obtained model was able to predict the BCF of organic chemicals within the application domain.
- organic chemicals /
- bioconcentration factor /
- QSAR

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郑玉婷, 乔显亮, 于洋, 林军, 丁琼. 有机化学品生物富集因子定量结构-活性关系模型[J]. 生态毒理学报, 2019, 14(2): 214-221. doi: 10.7524/AJE.1673-5897.20180718002

引用本文:

郑玉婷, 乔显亮, 于洋, 林军, 丁琼. 有机化学品生物富集因子定量结构-活性关系模型[J]. 生态毒理学报, 2019, 14(2): 214-221. doi: 10.7524/AJE.1673-5897.20180718002

Citation:

有机化学品生物富集因子定量结构-活性关系模型

作者简介: 郑玉婷(1989-),女,工程师,研究方向为化学品环境风险管理,E-mail:zhengyuting@mepscc.cn
1. 环境保护部固体废物与化学品管理技术中心, 北京 100029;

2. 大连理工大学环境学院工业生态与环境工程教育部重点实验室, 大连 116024

收稿日期: 2018-07-18

关键词:

摘要: 依据经济合作与发展组织(OECD)关于定量结构-活性关系(QSAR)模型构建和使用导则，将780个有机化合物，以4:1的比例随机划分为训练集(624个化合物)和验证集(156个化合物)，通过多元线性回归(MLR)方法构建了一个包含12个描述符的有机化合物鱼类生物富集因子(BCF)的QSAR模型。QSAR模型的调整决定系数R_adj²=0.809，去一法交叉验证系数Q_LOO²=0.803，外部验证系数Q_EXT²=0.732，表明模型具有较好的拟合优度、稳健性和预测能力。采用欧几里德距离方法表征模型应用域，通过威廉姆斯图分析模型离群点，并对模型进行机理解释。所构建的模型，可以用于预测应用域内有机化学品的生物富集因子。

English Abstract

Quantitative Structure-Activity Relationship Model for Bioconcentration Factors of Organic Chemicals

1. Solid Waste and Chemicals Management Center, MEP, Beijing 100029, China;
2. Key Laboratory of Industrial Ecology and Environmental Engineering(MOE), Department of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China

Received Date: 2018-07-18

Keywords:

Abstract: According to the principles of development and validation for quantitative structure-activity relationship (QSAR) proposed by Organization for Economic Cooperation and Development (OECD), a QSAR model of bioconcentration factors in fish was built. 780 organic compounds were randomly divided into training set (624 compounds) and validation set (156 compounds) at a ratio of 4:1. The method that developed the model with 12 molecular descriptors was multiple linear regressions (MLR). The adjusted coefficient of determination (R_adj²), the leave-one-out cross validated coefficient (Q_LOO²) and external explained variance (Q_EXT²) was 0.809, 0.803 and 0.732, respectively. It is indicated that the model had satisfied goodness-of-fit, robustness and predictive ability. The application domain of the model was characterized by the Euclidean distance, outliers were analyzed by Williams and mechanism was interpreted subsequently. The obtained model was able to predict the BCF of organic chemicals within the application domain.

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有机化学品生物富集因子定量结构-活性关系模型

作者简介: 郑玉婷(1989-),女,工程师,研究方向为化学品环境风险管理,E-mail:zhengyuting@mepscc.cn

Quantitative Structure-Activity Relationship Model for Bioconcentration Factors of Organic Chemicals

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有机化学品生物富集因子定量结构-活性关系模型

作者简介: 郑玉婷(1989-),女,工程师,研究方向为化学品环境风险管理,E-mail:zhengyuting@mepscc.cn 1. 环境保护部固体废物与化学品管理技术中心, 北京 100029; 2. 大连理工大学环境学院 工业生态与环境工程教育部重点实验室, 大连 116024

English Abstract

Quantitative Structure-Activity Relationship Model for Bioconcentration Factors of Organic Chemicals

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作者简介: 郑玉婷(1989-),女,工程师,研究方向为化学品环境风险管理,E-mail:zhengyuting@mepscc.cn
1. 环境保护部固体废物与化学品管理技术中心, 北京 100029;

2. 大连理工大学环境学院工业生态与环境工程教育部重点实验室, 大连 116024