title: Discrimination between modes of toxic action of phenols using rule based methods.
abstract: Rule-based ensemble modelling has been used to develop a model with high accuracy and predictive capabilities for distinguishing between four different modes of toxic action for a set of 220 phenols. The model not only predicts the majority class (polar narcotics) well but also the other three classes (weak acid respiratory uncouplers, pro-electrophiles and soft electrophiles) of toxic action despite the severely skewed distribution among the four investigated classes. Furthermore, the investigation also highlights the merits of using ensemble (or consensus) modelling as an alternative to the more traditional development of a single model in order to promote robustness and accuracy with respect to the predictive capability for the derived model.
authors.affiliation: AstraZeneca R&D Södertälje, SE-151 85, Södertälje, Sweden. ulf.norinder@astrazeneca.com
authors.forename: Ulf
authors.initials: U
authors.lastname: Norinder
authors.forename: Per
authors.initials: P
authors.lastname: Lidén
authors.forename: Henrik
authors.initials: H
authors.lastname: Boström
mesh_terms: D016208:Databases, Factual; D008956:Models, Chemical; D015233:Models, Statistical; D010636:Phenols / Q000633:toxicity*; D021281:Quantitative Structure-Activity Relationship
chemical_list: D010636:Phenols