AI and SAR approaches for predicting chemical carcinogenicity: Survey and status report

SAR and QSAR in environmental research

Volumn 13, Issue 1, 2002, Pages 1-19

  Richardt, A M ^a   Benigni, R ^b  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b ISTITUTO SUPERIORE DI SANITÀ   (Italy)

Author keywords

Artificial intelligence; Carcinogenicity; Potency; Prediction; SAR

Indexed keywords

XENOBIOTIC AGENT;

ANIMAL; ARTICLE; BIOASSAY; CELL TRANSFORMATION; CHEMICAL MODEL; CHEMICALLY INDUCED DISORDER; FORECASTING; MOUSE; NEOPLASM; RAT; STRUCTURE ACTIVITY RELATION;

ANIMALS; CELL TRANSFORMATION, NEOPLASTIC; ENDPOINT DETERMINATION; FORECASTING; MICE; MODELS, CHEMICAL; NEOPLASMS; RATS; STRUCTURE-ACTIVITY RELATIONSHIP; XENOBIOTICS;

EID: 0036491315     PISSN: 1062936X     EISSN: None     Source Type: Journal    
DOI: 10.1080/10629360290002055     Document Type: Article

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