Computational predictive programs (expert systems) in toxicology

Emilio Benfenati, Giuseppina Gini

Research output: Contribution to journalArticlepeer-review

Abstract

The increasing number of pollutants in the environment raises the problem of the toxicological risk evaluation of these chemicals. Several so called expert systems (ES) have been claimed to be able to predict toxicity of certain chemical structures. Different approaches are currently used for these ES, based on explicit rules derived from the knowledge of human experts that compiled lists of toxic moieties - for instance in the case of programs called HazardExpert and DEREK - or relying on statistical approaches, as in the CASE and TOPKAT programs. Here we describe and compare these and other intelligent computer programs because of their utility in obtaining at least a first rough indication of the potential toxic activity of chemicals.

Original languageEnglish
Pages (from-to)213-225
Number of pages13
JournalToxicology
Volume119
Issue number3
DOIs
Publication statusPublished - May 16 1997

Keywords

  • Artificial intelligence
  • Computer systems
  • Expert systems
  • QSAR
  • Toxicity

ASJC Scopus subject areas

  • Toxicology

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