Literature DB >> 21639678

The use of a chemistry-based profiler for covalent DNA binding in the development of chemical categories for read-across for genotoxicity.

Steven J Enoch1, Mark T D Cronin, Claire M Ellison.   

Abstract

An important molecular initiating event for genotoxicity is the ability of a compound to bind covalently with DNA. However, not all compounds that can undergo covalent binding mechanisms will result in genotoxicity. One approach to solving this problem, when in silico prediction techniques are being used, is to develop tools that allow chemicals to be grouped into categories based on their ability to bind covalently to DNA. For this analysis to take place, compounds need to be placed within categories where the trend in toxicity can be explained by simple descriptors, such as hydrophobicity. However, this can occur only when the compounds within a category are structurally and mechanistically similar. Chemistry-based profilers have the ability to screen compounds and highlight those with similar structures to a target compound, and are thus likely to act via a similar mechanism of action. Here, examples are reported to highlight how structure-based profilers can be used to form categories and hence fill data gaps. The importance of developing a well-defined and robust category is discussed in terms of both mechanisms of action and structural similarity. 2011 FRAME.

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Year:  2011        PMID: 21639678     DOI: 10.1177/026119291103900206

Source DB:  PubMed          Journal:  Altern Lab Anim        ISSN: 0261-1929            Impact factor:   1.303


  3 in total

1.  Implementation of in silico toxicology protocols within a visual and interactive hazard assessment platform.

Authors:  Glenn J Myatt; Arianna Bassan; Dave Bower; Candice Johnson; Scott Miller; Manuela Pavan; Kevin P Cross
Journal:  Comput Toxicol       Date:  2021-10-28

2.  Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches.

Authors:  Kevin M Crofton; Arianna Bassan; Mamta Behl; Yaroslav G Chushak; Ellen Fritsche; Jeffery M Gearhart; Mary Sue Marty; Moiz Mumtaz; Manuela Pavan; Patricia Ruiz; Magdalini Sachana; Rajamani Selvam; Timothy J Shafer; Lidiya Stavitskaya; David T Szabo; Steven T Szabo; Raymond R Tice; Dan Wilson; David Woolley; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2022-03-17

Review 3.  Novel in vitro and mathematical models for the prediction of chemical toxicity.

Authors:  Dominic P Williams; Rebecca Shipley; Marianne J Ellis; Steve Webb; John Ward; Iain Gardner; Stuart Creton
Journal:  Toxicol Res (Camb)       Date:  2012-09-05       Impact factor: 3.524

  3 in total

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