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致癌作用:一种预测性结构-活性模型。

Carcinogenesis: a predictive structure-activity model.

作者信息

Enslein K, Craig P N

出版信息

J Toxicol Environ Health. 1982 Oct-Nov;10(4-5):521-30. doi: 10.1080/15287398209530273.

Abstract

A statistical structure-activity equation has been developed for the estimation of carcinogenic potential for chemicals that have not been subjected to carcinogenesis assays. This discriminant equation is based on substructural fragments and molecular weight obtained for 343 compounds. The data base used for the design of the equation was obtained from the monographs of the International Agency for Research on Cancer. The accuracy of classification for the carcinogens in the model is between 87 and 91%, and for noncarcinogens between 78 and 80% in the presence of between 5.5 and 10.2% of the compounds not being classifiable. The false negative rate ranges between 4 and 5%; the false positive rate is near 11%.

摘要

已开发出一种统计结构-活性方程,用于估算未进行致癌性试验的化学物质的致癌潜力。该判别方程基于343种化合物的子结构片段和分子量。用于设计该方程的数据库来自国际癌症研究机构的专论。模型中致癌物的分类准确率在87%至91%之间,非致癌物的分类准确率在78%至80%之间,同时存在5.5%至10.2%的化合物无法分类。假阴性率在4%至5%之间;假阳性率接近11%。

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