title: The identification and testing of interaction patterns.
abstract: This paper presents a method for identifying and assessing the significance of interaction patterns among various chemicals and chemical classes of importance to regulatory toxicologists. To this end, efforts were made to assemble and evaluate experimental data on toxicologically significant interactions, to use this information to characterize the consistency of toxicological interactions, and to define classes of compounds that display similar toxicological interactions. The motivation for this effort is to be able to propose hypotheses, which can be validated by experimentation, on how 2 or more chemicals will interact.
authors.affiliation: Syracuse Environmental Research Associates, Inc., Fayetteville, NY 13066, USA.
authors.forename: P
authors.initials: P
authors.lastname: Durkin
authors.forename: R
authors.initials: R
authors.lastname: Hertzberg
authors.forename: W
authors.initials: W
authors.lastname: Stiteler
authors.forename: M
authors.initials: M
authors.lastname: Mumtaz
mesh_terms: D016208:Databases, Factual; D004347:Drug Interactions; D015386:Hazardous Substances / Q000145:classification / Q000378:metabolism / Q000633:toxicity*; D009010:Monte Carlo Method; D018570:Risk Assessment
chemical_list: D015386:Hazardous Substances