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

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 class...

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Detalles Bibliográficos
Autores principales: Moriguchi, I, Hirano, H, Hirono, S
Formato: Texto
Lenguaje:English
Publicado: 1996
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1469684/
https://www.ncbi.nlm.nih.gov/pubmed/8933054
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author Moriguchi, I
Hirano, H
Hirono, S
author_facet Moriguchi, I
Hirano, H
Hirono, S
author_sort Moriguchi, I
collection PubMed
description 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.
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spelling pubmed-14696842006-06-01 Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method. Moriguchi, I Hirano, H Hirono, S Environ Health Perspect Research Article 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. 1996-10 /pmc/articles/PMC1469684/ /pubmed/8933054 Text en
spellingShingle Research Article
Moriguchi, I
Hirano, H
Hirono, S
Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.
title Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.
title_full Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.
title_fullStr Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.
title_full_unstemmed Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.
title_short Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.
title_sort prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the fals method.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1469684/
https://www.ncbi.nlm.nih.gov/pubmed/8933054
work_keys_str_mv AT moriguchii predictionoftherodentcarcinogenicityoforganiccompoundsfromtheirchemicalstructuresusingthefalsmethod
AT hiranoh predictionoftherodentcarcinogenicityoforganiccompoundsfromtheirchemicalstructuresusingthefalsmethod
AT hironos predictionoftherodentcarcinogenicityoforganiccompoundsfromtheirchemicalstructuresusingthefalsmethod

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