Proceedings:
Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools
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Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools
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Abstract:
ECDIN (Environmental Chemicals Data Information Network) is a chemical and toxicological database covering approximately 120.000 compounds. The database includes parameters such as: nomenclature, physicochemical properties, classical toxicity, mutagenicity and carcinogenicity. This paper reviews the use of this information system in predictive toxicology during the second half of the 80’s and the early 90’s. The review highlights advantages and pitfalls of the ECDIN system for computational toxicology and permits the formulation of future developments.
Spring
Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools