Putting the Predictive Toxicology Challenge into perspective: reflections on the results | Zendy

Romualdo Benigni | Zendy; Alessandro Giuliani | Zendy

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Putting the Predictive Toxicology Challenge into perspective: reflections on the results

Author(s) -

Romualdo Benigni,

Alessandro Giuliani

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg099

Subject(s) - perspective (graphical) , computer science , toxicology , data science , risk analysis (engineering) , computational biology , biology , medicine , artificial intelligence

Chemical carcinogenicity is of primary interest, because it drives much of the current regulatory actions regarding new and existing chemicals, and its experimental determination involves time-consuming and expensive animal testing. Both academia and private companies are actively trying to develop SAR and QSAR models. This paper reviews the new Predictive Toxicology Challenge (PTC) results, by putting them into the context of previous attempts.

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