Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method

Autor:	Shuichi Hirono, Ikuo Moriguchi, Hiroyuki Hirano
Rok vydání:	1996
Předmět:	Carcinogenicity Tests Chemistry Health Toxicology and Mutagenesis Public Health Environmental and Occupational Health Computational biology Fuzzy adaptive Rodent carcinogenicity Rats Mice Structure-Activity Relationship Chemical engineering Carcinogens Animals Carcinogenicity Test Occupational exposure Least-Squares Analysis Research Article
Zdroj:	Environmental Health Perspectives
ISSN:	1552-9924 0091-6765
Popis:	Fuzzy adaptive least-squares (FALS), a pattern recognition method recently developed in our laboratory for correlating structure with activity rating, was used to generate quantitative structure-activity relationship (QSAR) models on the carcinogenicity of organic compounds of several chemical classes. Using the predictive models obtained from the chemical class-based FALS QSAR approach, the rodent carcinogenicity or noncarcinogenicity of a group of organic chemicals currently being tested by the U.S. National Toxicology Program was estimated from their chemical structures.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd9fe388b6813bd77fa0ca8adc757f97 https://doi.org/10.1289/ehp.96104s51051 Zobrazit plný text záznamu Plný text ve formátu HTML
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