Applications of mechanistic data in risk assessment: The past, present, and future

Toxicological Sciences

Volumn 61, Issue 1, 2001, Pages 32-39

  Haber, Lynne T ^a   Maier, Andrew ^a   Zhao, Qiyu ^a   Dollarhide, Joan S ^a   Savage, Russell E ^a   Dourson, Michael L ^a  

^a Toxicology Excellence for Risk Assessment   (United States)

Author keywords

1,3 Dichloropropene; Boron; Formaldehyde; Mechanism; Mode of action; Nitrate; Polymorphism; Risk Assessment; Telone

Indexed keywords

ALLYL CHLORIDE; BORON; FORMALDEHYDE; NITRATE;

ADULT; ARTICLE; BIOLOGY; CANCER; DNA MICROARRAY; DOSE RESPONSE; DOSIMETRY; DRUG ACTIVITY; ENVIRONMENTAL PROTECTION; EVALUATION; GENETIC POLYMORPHISM; GENETIC VARIABILITY; HUMAN; HYPOTHESIS; INFANT; INFORMATION PROCESSING; LINEAR SYSTEM; MOLECULAR BIOLOGY; MOLECULAR INTERACTION; NONLINEAR SYSTEM; ORGANIZATION; PRACTICE GUIDELINE; RISK ASSESSMENT; STATISTICAL MODEL; TECHNIQUE; TOXICITY TESTING; TOXICOKINETICS; TRANSGENIC ANIMAL; UNITED STATES;

ALLYL COMPOUNDS; ANIMALS; BORON; DOSE-RESPONSE RELATIONSHIP, DRUG; ENVIRONMENTAL EXPOSURE; FORECASTING; FORMALDEHYDE; HUMANS; NITRATES; REFERENCE VALUES; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY;

ANIMALIA;

EID: 0035042743     PISSN: 10966080     EISSN: None     Source Type: Journal    
DOI: 10.1093/toxsci/61.1.32     Document Type: Article

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