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Structural alerts to genotoxicity: the interaction of human and artificial intelligence.

作者信息

Rosenkranz H S, Klopman G

机构信息

Department of Environmental Health Sciences, Case Western Reserve University, Cleveland, OH 44106.

出版信息

Mutagenesis. 1990 Jul;5(4):333-61. doi: 10.1093/mutage/5.4.333.

DOI:10.1093/mutage/5.4.333
PMID:2398817
Abstract

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.

摘要

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引用本文的文献

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Environ Health Perspect. 1991 Dec;96:97-100. doi: 10.1289/ehp.919697.