Literature DB >> 35188633

In Silico Methods for Chromosome Damage.

Diego Baderna1, Ilse Van Overmeire2, Giovanna J Lavado1, Domenico Gadaleta1, Birgit Mertens3,4.   

Abstract

Due to the link with serious adverse health effects, genotoxicity is an important toxicological endpoint in each regulatory setting with respect to human health, including for pharmaceuticals. To this extent, a compound potential to induce gene mutations as well as chromosome damage needs to be addressed. For chromosome damage, i.e., the induction of structural or numerical chromosome aberrations, several in vitro and in vivo test methods are available. In order to rapidly collect toxicological data without the need for test material, several in silico tools for chromosome damage have been developed over the last years. In this chapter, a battery of freely available in silico chromosome damage prediction tools for chromosome damage is applied on a dataset of pharmaceuticals. Examples of the different outcomes obtained with the in silico battery are provided and briefly discussed. Furthermore, results for coumarin are presented in more detail as a case study. Overall, it can be concluded that although they are in general less developed than those for mutagenicity, in silico tools for chromosome damage can provide valuable information, especially when combined in a battery.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Chromosome damage; Genotoxicity; Metaphase chromosome aberration test; Micronucleus test; QSAR models; Structural alerts; In silico profilers

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Substances:

Year:  2022        PMID: 35188633     DOI: 10.1007/978-1-0716-1960-5_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

Review 1.  The new ISSMIC database on in vivo micronucleus and its role in assessing genotoxicity testing strategies.

Authors:  Romualdo Benigni; Cecilia Bossa; Olga Tcheremenskaia; Chiara Laura Battistelli; Pierre Crettaz
Journal:  Mutagenesis       Date:  2011-09-30       Impact factor: 3.000

2.  CEBS: a comprehensive annotated database of toxicological data.

Authors:  Isabel A Lea; Hui Gong; Anand Paleja; Asif Rashid; Jennifer Fostel
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

  2 in total

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