title: Prediction of Salmonella mutagenicity.
abstract: The ability of a number of prediction systems was examined to determine how well they could predict Salmonella mutagenicity. The prediction systems included two computer-based systems (CASE and TOPKAT), the measurement of a physiochemical parameter (ke) and the use of structural alerts by an expert chemist. The computer-based systems operators and the chemist were supplied with the structures of 100 chemicals that had been tested for mutagenicity in the Salmonella test; the actual chemicals were needed for the physiochemical measurement. None of the participants was provided with the chemical names or Salmonella test results prior to submitting their predictions. The three systems that predicted the mutagenicity from the structure of the chemicals produced equivalent results (71-76% concordance with the Salmonella results); the physiochemical system produced a lower (60-61%) concordance.
authors.affiliation: Environmental Toxicology Program, NIEHS, Research Triangle Park, NC 27709, USA.
authors.forename: E
authors.initials: E
authors.lastname: Zeiger
authors.forename: J
authors.initials: J
authors.lastname: Ashby
authors.forename: G
authors.initials: G
authors.lastname: Bakale
authors.forename: K
authors.initials: K
authors.lastname: Enslein
authors.forename: G
authors.initials: G
authors.lastname: Klopman
authors.forename: H S
authors.initials: HS
authors.lastname: Rosenkranz
mesh_terms: D016208:Databases, Factual; D008962:Models, Theoretical; D009152:Mutagenicity Tests / Q000379:methods; D009153:Mutagens / Q000737:chemistry / Q000633:toxicity*; D011237:Predictive Value of Tests; D012475:Salmonella / Q000187:drug effects* / Q000235:genetics*; D012984:Software; D013329:Structure-Activity Relationship
chemical_list: D009153:Mutagens