STRUCTURAL ALERTS TO GENOTOXICITY - THE INTERACTION OF HUMAN AND ARTIFICIAL-INTELLIGENCE

被引：38

作者：

ROSENKRANZ, HS ^{[1
]}

KLOPMAN, G ^{[1
]}

机构：

[1] CASE WESTERN RESERVE UNIV,DEPT CHEM,CLEVELAND,OH 44106

来源：

MUTAGENESIS | 1990年 / 5卷 / 04期

关键词：

D O I：

10.1093/mutage/5.4.333

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The assignments of 'structural alerts' by Ashby and associates as predictors of genotoxic carcinogenicity were used as the entries for CASE, an artificial intelligence-based structure-activity relational method. CASE, using this human intelligence-based information, was able to derive structural determinants that duplicate the informational content of the structural alerts (sensitivity, 0.974; specificity, 0.948). The CASE-predicted alerts performed as well as the results of the Salmonella mutagenicity assay or the direct application of structural alerts in predicting carcinogens. © 1990 Oxford University Press.

引用

页码：333 / 361

页数：29

共 59 条

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