Computational predictive programs (expert systems) in toxicology
- 1 May 1997
- journal article
- research article
- Published by Elsevier in Toxicology
- Vol. 119 (3) , 213-225
- https://doi.org/10.1016/s0300-483x(97)03631-7
Abstract
No abstract availableKeywords
This publication has 31 references indexed in Scilit:
- The use of artificial intelligence systems for predicting toxicityPesticide Science, 1995
- Use of SAR in computer-assited prediction of carcinogenicity and mutagenicity of chemicals by the TOPKAT programMutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 1994
- Approaches to SAR in carcinogenesis and mutagenesis. Prediction of carcinogenicity/mutagenicity using MULTI-CASEMutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 1994
- Carcinogenicity of azathioprine: An S-AR investigationMutation Research Letters, 1993
- The influence of chemical structure on the extent and sites of carcinogenesis for 522 rodent carcinogens and 55 different human carcinogen exposuresMutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 1993
- Testing by artificial intelligence: Computational alternatives to the determination of mutagenicityMutation Research/Environmental Mutagenesis and Related Subjects, 1992
- Eliciting principles of hazard identification from expertsTeratology, 1990
- Computer Automated Structure Evaluation (CASE) of the teratogenicity of retinoids with the aid of a novel geometry indexJournal of Computer-Aided Molecular Design, 1990
- Artificial intelligence in chemistryAnalytica Chimica Acta, 1988
- Artificial intelligence approach to structure-activity studies. Computer automated structure evaluation of biological activity of organic moleculesJournal of the American Chemical Society, 1984