title: Prediction of the carcinogenicity in rodents of chemicals currently being tested by the US National Toxicology Program: structure-activity correlations.
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.
authors: Department of Environmental Health Sciences, Case Western Reserve University, Cleveland, OH 44106.
authors: H S
authors: HS
authors: Rosenkranz
authors: G
authors: G
authors: Klopman
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D015197:Carcinogenicity Tests; D002273:Carcinogens; D016208:Databases, Factual; D051379:Mice; D015394:Molecular Structure; D051381:Rats; D013329:Structure-Activity Relationship
chemical_list: D002273:Carcinogens