title: In silico prediction of genotoxicity.
abstract: The in silico prediction of genotoxicity has made considerable progress during the last years. The main driver for the pharmaceutical industry is the ICH M7 guideline about the assessment of DNA reactive impurities. An important component of this guideline is the use of in silico models as an alternative approach to experimental testing. The in silico prediction of genotoxicity provides an established and accepted method that defines the first step in the assessment of DNA reactive impurities. This was made possible by the growing amount of reliable Ames screening data, the attempts to understand the activity pathways and the subsequent development of computer-based prediction systems. This paper gives an overview of how the in silico prediction of genotoxicity is performed under the ICH M7 guideline.
authors.affiliation: Bayer Pharma AG, Genetic Toxicology, Müllerstr. 178, D-13353, Berlin, Germany. Electronic address: joerg.wichard@bayer.com.
authors.forename: Jörg D
authors.initials: JD
authors.lastname: Wichard
mesh_terms: D000818:Animals; D003198:Computer Simulation; D004247:DNA / Q000032:analysis / Q000235:genetics; D059018:DNA Contamination; D004249:DNA Damage / Q000187:drug effects; D006801:Humans; D009152:Mutagenicity Tests / Q000379:methods* / Q000592:standards; D009153:Mutagens / Q000633:toxicity*
chemical_list: D009153:Mutagens; D004247:DNA
keywords: Expert systems; Genotoxic impurities; Genotoxicity; In silico methods; QSAR