Literature DB >> 22260876

Development of new structural alerts suitable for chemical category formation for assigning covalent and non-covalent mechanisms relevant to DNA binding.

S J Enoch1, M T D Cronin.   

Abstract

The need to assess the ability of a chemical to act as a mutagen is one of the primary requirements in regulatory toxicology. Several pieces of legislation have led to an increased interest in the use of in silico methods, specifically the formation of chemical categories and read-across for the assessment of toxicological endpoints. One of the key steps in the development of chemical categories for mutagenicity is defining the mechanistic organic chemistry associated with the formation of a covalent bond between DNA and an exogenous chemical. To this end this study has analysed, by use of a large set of mutagenicity data (Ames test), the mechanistic coverage of a recently published set of in silico structural alerts developed for category formation. The results show that the majority of chemicals with a positive result in the Ames test were assigned at least one covalent binding mechanism related to the formation of a DNA adduct. The remaining chemicals with positive data in the Ames assay were subjected to a detailed mechanistic analysis from which 26 new structural alerts relating to covalent binding mechanisms were developed. In addition, structural alerts for radical and non-covalent intercalation mechanisms were also defined. The structural alerts outlined in this study are not intended to predict mutagenicity but rather to identify mechanisms associated with covalent and non-covalent DNA binding. This mechanistic profiling information can then be used to form chemical categories suitable for filling data gaps via read-across. A strategy for chemical category formation for mutagenicity is also presented.
© 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22260876     DOI: 10.1016/j.mrgentox.2011.12.029

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  3 in total

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

Authors:  Alexander Amberg; Lennart T Anger; Joel Bercu; David Bower; Kevin P Cross; Laura Custer; James S Harvey; Catrin Hasselgren; Masamitsu Honma; Candice Johnson; Robert Jolly; Michelle O Kenyon; Naomi L Kruhlak; Penny Leavitt; Donald P Quigley; Scott Miller; David Snodin; Lidiya Stavitskaya; Andrew Teasdale; Alejandra Trejo-Martin; Angela T White; Joerg Wichard; Glenn J Myatt
Journal:  Mutagenesis       Date:  2019-03-06       Impact factor: 3.000

2.  Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction.

Authors:  Ulf Norinder; Glenn Myatt; Ernst Ahlberg
Journal:  Biomolecules       Date:  2018-08-29

3.  Density Functional Theory in the Prediction of Mutagenicity: A Perspective.

Authors:  Piers A Townsend; Matthew N Grayson
Journal:  Chem Res Toxicol       Date:  2020-08-07       Impact factor: 3.739

  3 in total

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