title: Proposal of an in silico profiler for categorisation of repeat dose toxicity data of hair dyes.
abstract: This study outlines the analysis of 94 chemicals with repeat dose toxicity data taken from Scientific Committee on Consumer Safety opinions for commonly used hair dyes in the European Union. Structural similarity was applied to group these chemicals into categories. Subsequent mechanistic analysis suggested that toxicity to mitochondria is potentially a key driver of repeat dose toxicity for chemicals within each of the categories. The mechanistic hypothesis allowed for an in silico profiler consisting of four mechanism-based structural alerts to be proposed. These structural alerts related to a number of important chemical classes such as quinones, anthraquinones, substituted nitrobenzenes and aromatic azos. This in silico profiler is intended for grouping chemicals into mechanism-based categories within the adverse outcome pathway paradigm.
authors.affiliation: School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK.
authors.forename: M D
authors.initials: MD
authors.lastname: Nelms
authors.forename: G
authors.initials: G
authors.lastname: Ates
authors.forename: J C
authors.initials: JC
authors.lastname: Madden
authors.forename: M
authors.initials: M
authors.lastname: Vinken
authors.forename: M T D
authors.initials: MT
authors.lastname: Cronin
authors.forename: V
authors.initials: V
authors.lastname: Rogiers
authors.forename: S J
authors.initials: SJ
authors.lastname: Enoch
mesh_terms: D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006202:Hair Dyes / Q000737:chemistry / Q000633:toxicity*; D006801:Humans; D008928:Mitochondria / Q000187:drug effects; D008954:Models, Biological; D013329:Structure-Activity Relationship
chemical_list: D006202:Hair Dyes