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Validation and Subsequent Development of the Derek Skin Sensitization Rulebase by Analysis of the BgVV List of Contact Allergens
- Source :
- Journal of Chemical Information and Modeling; March 1999, Vol. 39 Issue: 2 p294-298, 5p
- Publication Year :
- 1999
-
Abstract
- The DEREK knowledge-based computer system contains a subset of approximately 50 rules describing chemical substructures (toxophores) responsible for skin sensitization. This rulebase, based originally on Unilever historical in-house guinea pig maximization test data, has been subject to extensive validation and is undergoing refinement as the next stage of its development. As part of an ongoing program of validation and testing, the predictive ability of the sensitization rule set has been assessed by processing the structures of the 84 chemical substances in the list of contact allergens issued by the BgVV (German Federal Institute for Health Protection of Consumers). This list of chemicals is important because the biological data for each of the chemicals have been carefully scrutinized and peer reviewed, a key consideration in an area of toxicology in which much unreliable and potentially misleading data have been published. The existing DEREK rulebase for skin sensitization identified toxophores for skin sensitization in the structures of 71 out of the 84 chemicals (85%). The exercise highlighted areas of chemistry where further development of the rulebase was required, either by extension of the scope of existing rules or by generation of new rules where a sound mechanistic rationale for the biological activity could be established. Chemicals likely to be acting as photoallergens were identified, and new rules for photoallergenicity have subsequently been written. At the end of the exercise, the refined rulebase was able to identify toxophores for skin sensitization for 82 of the 84 chemicals in the BgVV list.
Details
- Language :
- English
- ISSN :
- 15499596 and 1549960X
- Volume :
- 39
- Issue :
- 2
- Database :
- Supplemental Index
- Journal :
- Journal of Chemical Information and Modeling
- Publication Type :
- Periodical
- Accession number :
- ejs9526441
- Full Text :
- https://doi.org/10.1021/ci980204n