Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: is aromatic N-oxide a structural alert for predicting DNA-reactive mutagenicity?
Journal
Mutagenesis
ISSN: 1464-3804
Titre abrégé: Mutagenesis
Pays: England
ID NLM: 8707812
Informations de publication
Date de publication:
06 03 2019
06 03 2019
Historique:
received:
30
04
2018
revised:
02
07
2018
accepted:
28
07
2018
pmc-release:
06
03
2020
pubmed:
7
9
2018
medline:
27
4
2019
entrez:
7
9
2018
Statut:
ppublish
Résumé
(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.
Identifiants
pubmed: 30189015
pii: 5090822
doi: 10.1093/mutage/gey020
pmc: PMC6402318
doi:
Substances chimiques
Cyclic N-Oxides
0
Mutagens
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
67-82Subventions
Organisme : NIEHS NIH HHS
ID : R44 ES026909
Pays : United States
Informations de copyright
© The Author(s) 2018. Published by Oxford University Press on behalf of the UK Environmental Mutagen Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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