Prediction of the carcinogenicity in rodents of chemicals currently being tested by the US National Toxicology Program: structure-activity correlations
- 1 September 1990
- journal article
- editorial
- Published by Oxford University Press (OUP) in Mutagenesis
- Vol. 5 (5), 425-432
- https://doi.org/10.1093/mutage/5.5.425
Abstract
CASE, an artificial intelligence structure-activity relational system, was used to predict the carcinogenicity of a group of chemicals currently being tested in rodent bioassays by the US National Toxicology Program. The ‘learning set’ for the CASE predictions consisted of the results of previous 252 rodent carcinogenicity bioassays.Keywords
This publication has 2 references indexed in Scilit:
- CASE, the computer-automated structure evaluation method, correctly predicts the low mutagenicity for Salmonella of nitrated cyclopenta-fused polycyclic aromatic hydrocarbonsMutation Research, 1988
- Artificial intelligence approach to structure-activity studies. Computer automated structure evaluation of biological activity of organic moleculesJournal of the American Chemical Society, 1984