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利用相关性理想指数改进生态毒性模型。

Use of the index of ideality of correlation to improve models of eco-toxicity.

机构信息

Laboratory of Environmental Chemistry and Toxicology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, 20156, Milan, Italy.

出版信息

Environ Sci Pollut Res Int. 2018 Nov;25(31):31771-31775. doi: 10.1007/s11356-018-3291-5. Epub 2018 Sep 25.

Abstract

Persistent organic pollutants are compounds used for various everyday purposes, such as personal care products, food, pesticides, and pharmaceuticals. Decomposition of considerable part of the above pollutants is a long-time process. Under such circumstances, estimation of toxicity for large arrays of organic substances corresponding to the above category of pollutants is a necessary component of theoretical chemistry. The CORAL software is a tool to establish quantitative structure-activity relationships (QSARs). The index of ideality of correlation (IIC) was suggested as a criterion of predictive potential of QSAR. The statistical quality of models for eco-toxicity of organic pollutants, which are built up, with use of the IIC is better than statistical quality of models, which are built up without use of data on the IIC.

摘要

持久性有机污染物是用于各种日常用途的化合物,如个人护理产品、食品、农药和药品。上述污染物的相当一部分分解是一个长时间的过程。在这种情况下,对属于上述类别的大量有机物质的毒性进行估计是理论化学的必要组成部分。CORAL 软件是建立定量构效关系(QSAR)的工具。理想相关指数(IIC)被建议作为 QSAR 预测潜力的标准。使用 IIC 建立的有机污染物生态毒性模型的统计质量优于不使用 IIC 数据建立的模型的统计质量。

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