title: SAR modeling of genotoxic phenomena: the effect of supplementation with physiological chemicals.
abstract: Structure-activity relationship (SAR) modeling of toxicological phenomena is optimal when the ratio of toxicants to non-toxicants included in the model is unity. Frequently, however, the experimental data available are enriched with toxicants, this appears to be especially true for genotoxicity data sets. It is demonstrated herein, using a Salmonella mutagenicity data set, that when there is a paucity of non-toxicants, the learning set may be augmented with physiological chemicals on the assumption that they are non-genotoxic.
authors.affiliation: Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, 260 Kappa Drive, Pittsburgh, PA 15238, USA. rsnkranz@pitt.edu
authors.forename: H S
authors.initials: HS
authors.lastname: Rosenkranz
authors.forename: A R
authors.initials: AR
authors.lastname: Cunningham
mesh_terms: D000465:Algorithms; D008957:Models, Genetic; D009152:Mutagenicity Tests; D009153:Mutagens / Q000737:chemistry* / Q000633:toxicity*; D012486:Salmonella typhimurium / Q000187:drug effects / Q000235:genetics; D013329:Structure-Activity Relationship
chemical_list: D009153:Mutagens