A report highlighted on the European Commission’s Joint Research Centre website discusses the use of quantitative-structure-activity relationship (QSAR), and grouping/read-across techniques to assess a chemical’s genotoxic potential. As case studies, two compounds (2-amino-9H-pyrido[2,3-b]indole and 2-aminoacetophenone) are evaluated. This document will form chapter 6 of Computational Toxicology, Volume II. Other chapters of potential interest include: “accessing and using chemical databases”, “mutagenicity, carcinogenicity and other endpoints”, “modelling for regulatory purposes (risk and safety assessment)”, “developmental toxicity prediction” and “predictive computational toxicology to support drug safety assessment”.

Worth A et al. (2013) [available now]. QSAR and metabolic assessment tools in the assessment of genotoxicity. Chapter 6 of Computational Toxicology: Volume II. Methods in Molecular Biology 930. Reisfeld B & Mayeno AN (ed.).

http://www.ncbi.nlm.nih.gov/pubmed/23086840

 

The above item was taken from the December 2012 issue of Toxicology and Regulatory News which is sent automatically to members of bibra (click here for more details).

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