In silico prediction of chemically induced mutagenicity: How to use QSAR models and interpret their results

Enrico Mombelli, Giuseppa Raitano, Emilio Benfenati

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Information on genotoxicity is an essential piece of information gathering for a comprehensive toxicological characterization of chemicals. Several QSAR models that can predict Ames genotoxicity are freely available for download from the Internet and they can provide relevant information for the toxicological profiling of chemicals. Indeed, they can be straightforwardly used for predicting the presence or absence of genotoxic hazards associated with the interactions of chemicals with DNA. Nevertheless, and despite the ease of use of these models, the scientific challenge is to assess the reliability of information that can be obtained from these tools. This chapter provides instructions on how to use freely available QSAR models and on how to interpret their predictions.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages87-105
Number of pages19
Volume1425
DOIs
Publication statusPublished - 2016

Publication series

NameMethods in Molecular Biology
Volume1425
ISSN (Print)10643745

Keywords

  • Ames test
  • Mutagenicity
  • Predictive reliability
  • QSAR
  • Structural alerts

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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  • Cite this

    Mombelli, E., Raitano, G., & Benfenati, E. (2016). In silico prediction of chemically induced mutagenicity: How to use QSAR models and interpret their results. In Methods in Molecular Biology (Vol. 1425, pp. 87-105). (Methods in Molecular Biology; Vol. 1425). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-3609-0_5