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

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-oxide...

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Veröffentlicht in:Mutagenesis 2019-03, Vol.34 (1), p.67-82
Hauptverfasser: 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
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Sprache:eng
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Zusammenfassung: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.
ISSN:0267-8357
1464-3804
DOI:10.1093/mutage/gey020