title: Quantitative structure-activity relationships for predicting skin and respiratory sensitization.
abstract: Quantitative structure-activity relationships (QSARs) for predicting skin and respiratory sensitization are reviewed. Overall, progress has been hampered by the sparseness of good quality experimental data, a fact that makes it difficult, at this time, to recommend one or two QSARs for predicting skin and respiratory sensitization. Creation of appropriate data sets for uninvestigated classes of chemicals by experimentation should facilitate the development of more robust QSARs for predicting skin and respiratory sensitization. Such QSARs will be valuable in the evaluation of identifiable toxic hazards where dose responses are relevant, as is the case for skin and respiratory sensitization.
authors.affiliation: Solo Star, 19 Spinney Road, Chawston, Bedford, Bedfordshire MK44 3BW, United Kingdom.
authors.forename: Rosemary
authors.initials: R
authors.lastname: Rodford
authors.forename: Grace
authors.initials: G
authors.lastname: Patlewicz
authors.forename: John D
authors.initials: JD
authors.lastname: Walker
authors.forename: Martin P
authors.initials: MP
authors.lastname: Payne
mesh_terms: D000279:Administration, Cutaneous; D000818:Animals; D001681:Biological Assay; D004785:Environmental Pollutants / Q000276:immunology* / Q000633:toxicity*; D005544:Forecasting; D006801:Humans; D007114:Immunization; D019570:Inhalation Exposure; D008198:Lymph Nodes / Q000276:immunology / Q000473:pathology; D008962:Models, Theoretical; D021281:Quantitative Structure-Activity Relationship; D012882:Skin Tests
chemical_list: D004785:Environmental Pollutants