Identification of toxifying and detoxifying moieties for mutagenicity prediction by priority assessment

Mose Casalegno, Emilio Benfenati, Guido Sello

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The search for structural subunits that affect compound toxicity cannot be manually performed on large databases. In addition, the a priori definition of important groups is impossible. Structural diversity requires the analysis of the complete data space and the selection of the details there present. A single substructure cannot be considered sufficient when assigning compound toxicity. In contrast, if we consider all the substructures in the database as the elements of a complete collection and if we can build a working hierarchy, the identification of the best feasible result using the available data is possible. If the database includes several significant examples, the results will be valuable. The use of a fragment-based description of a mutagenicity database together with the realization of a general hierarchy allows for the identification of the moieties that control the toxifying/detoxifying action of each compound.

Original languageEnglish
Pages (from-to)1564-1574
Number of pages11
JournalJournal of Chemical Information and Modeling
Volume51
Issue number7
DOIs
Publication statusPublished - Jul 25 2011

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ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)
  • Computer Science Applications
  • Library and Information Sciences

Cite this

Identification of toxifying and detoxifying moieties for mutagenicity prediction by priority assessment. / Casalegno, Mose; Benfenati, Emilio; Sello, Guido.

In: Journal of Chemical Information and Modeling, Vol. 51, No. 7, 25.07.2011, p. 1564-1574.

Research output: Contribution to journalArticle

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