title: Quantitative structure-activity relationships for predicting skin and eye irritation.
abstract: Recent quantitative structure-activity relationships (QSARs) for the prediction of skin and eye irritation were reviewed. The QSARs in these areas are hindered by the lack of quality in vivo data and by a lack of understanding of the mechanisms of action. Creation of appropriate data sets for experimentation would facilitate the development of robust QSARs for predicting skin and eye irritation.
authors.affiliation: Safety and Environmental Assurance Centre, Unilever Colworth, Colworth House, Sharnbrook, Bedford, Bedfordshire MK44 1LQ, United Kingdom. grace.patlewicz@unilever.com
authors.forename: Grace
authors.initials: G
authors.lastname: Patlewicz
authors.forename: Rosemary
authors.initials: R
authors.lastname: Rodford
authors.forename: John D
authors.initials: JD
authors.lastname: Walker
mesh_terms: D000818:Animals; D004785:Environmental Pollutants / Q000633:toxicity*; D005123:Eye / Q000187:drug effects / Q000473:pathology; D005544:Forecasting; D006801:Humans; D007509:Irritants / Q000633:toxicity; D023421:Models, Animal; D008962:Models, Theoretical; D021281:Quantitative Structure-Activity Relationship; D011817:Rabbits; D015203:Reproducibility of Results; D012882:Skin Tests; D018675:Toxicity Tests / Q000379:methods
chemical_list: D004785:Environmental Pollutants; D007509:Irritants