Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling

Toxicology and Applied Pharmacology

Volumn 222, Issue 1, 2007, Pages 1-16

  Valerio Jr , Luis G ^a   Arvidson, Kirk B ^a   Chanderbhan, Ronald F ^a   Contrera, Joseph F ^a  

^a CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

Author keywords

Cancer; Carcinogenesis; Computational toxicology; Dietary chemical; Food safety; Natural product; Phytochemical; Predictive toxicology; Predictive Toxicology; QSAR; Quantitative structure activity relationship modeling; Risk assessment; Rodent carcinogenicity; Safety assessment; SAR

Indexed keywords

CARCINOGEN; EPICATECHIN; ESTRAGOLE; FORMIC ACID; FORMONONETIN; GALLIC ACID; GLABRIDIN; INDOLE; NATURAL PRODUCT; ORGANIC COMPOUND; PANAXYNOL;

ARTICLE; BIOASSAY; CARCINOGENESIS; CHEMICAL STRUCTURE; COMPUTER MODEL; COMPUTER PROGRAM; DIETARY INTAKE; DRUG INDUSTRY; FOOD AND DRUG ADMINISTRATION; GENOTOXICITY; MEDICAL RESEARCH; RISK ASSESSMENT; RODENT; SCREENING; SENSITIVITY AND SPECIFICITY; STATISTICS; STRUCTURE ACTIVITY RELATION; TOXICITY TESTING; VALIDATION THERAPY;

ANIMALS; BIOLOGICAL PRODUCTS; CARCINOGENS; DATABASES, FACTUAL; DIET; FORECASTING; HUMANS; MICE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RATS; RISK ASSESSMENT; SOFTWARE; XENOBIOTICS;

ANIMALIA; RODENTIA;

EID: 34250795654     PISSN: 0041008X     EISSN: 10960333     Source Type: Journal    
DOI: 10.1016/j.taap.2007.03.012     Document Type: Article

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