Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: is aromatic N-oxide a structural alert for predicting DNA-reactive mutagenicity?*. (5th September 2018)

• Record Type: Journal Article
• Authors: Amberg, Alexander; Anger, Lennart T; Bercu, Joel; Bower, David; Cross, Kevin P; Custer, Laura; Harvey, James S; Hasselgren, Catrin; Honma, Masamitsu; Johnson, Candice; Jolly, Robert; Kenyon, Michelle O; Kruhlak, Naomi L; Leavitt, Penny; Quigley, Donald P; Miller, Scott; Snodin, David; Stavitskaya, Lidiya; Teasdale, Andrew; Trejo-Martin, Alejandra; White, Angela T; Wichard, Joerg; Myatt, Glenn J
• Is Part Of: Mutagenesis. Volume 34:Number 1(2019)
• Page Start: 67
• Page End: 82
• Publication Date: 2018-09-05
• Subjects: Mutagenesis -- Periodicals; Mutagenicity Tests -- Periodicals; Mutagens -- Periodicals; Mutagenesis; Periodicals; 576.542
• DOI: 10.1093/mutage/gey020
• Languages: English
• ISSNs: 0267-8357

Abstract

Abstract: (Quantitative) structure–activity relationship or (Q)SAR predictions of DNA-reactive mutagenicity are important to support both the design of new chemicals and the assessment of impurities, degradants, metabolites, extractables and leachables, as well as existing chemicals. Aromatic N -oxides represent a class of compounds that are often considered alerting for mutagenicity yet the scientific rationale of this structural alert is not clear and has been questioned. Because aromatic N -oxide-containing compounds may be encountered as impurities, degradants and metabolites, it is important to accurately predict mutagenicity of this chemical class. This article analysed a series of publicly available aromatic N -oxide data in search of supporting information. The article also used a previously developed structure–activity relationship (SAR) fingerprint methodology where a series of aromatic N -oxide substructures was generated and matched against public and proprietary databases, including pharmaceutical data. An assessment of the number of mutagenic and non-mutagenic compounds matching each substructure across all sources was used to understand whether the general class or any specific subclasses appear to lead to mutagenicity. This analysis resulted in a downgrade of the general aromatic N -oxide alert. However, it was determined there were enough public and proprietary data to assign the quindioxin and related chemicals as well as benzo[c][1, 2, 5]oxadiazole 1-oxide subclasses as alerts. The overall results of this analysis were incorporated into Leadscope's expert-rule-based model to enhance its predictive accuracy.