Automated and reproducible read-across like models for predicting carcinogenic potency

Regulatory Toxicology and Pharmacology

Volumn 70, Issue 1, 2014, Pages 370-378

  Lo Piparo, Elena ^a   Maunz, Andreas ^b   Helma, Christoph ^b   Vorgrimmler, David ^b   Schilter, Benoît ^a  

^a NESTLÉ RESEARCH CENTER   (Switzerland)

^b Toxicology GmbH   (Switzerland)

Author keywords

Alternative method; Genotoxicity; Quantitative structure activity relationship (QSAR); Read across; Risk assessment; Toxicity

Indexed keywords

CARCINOGEN;

ANIMAL; ANIMAL MODEL; AUTOMATION; BIOLOGICAL MODEL; CHEMISTRY; COMPARATIVE STUDY; COMPUTER PROGRAM; MOUSE; PROCEDURES; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RAT; REPRODUCIBILITY; RISK ASSESSMENT;

ANIMALS; AUTOMATION; CARCINOGENS; MICE; MODELS, ANIMAL; MODELS, BIOLOGICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RATS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SOFTWARE;

EID: 84906060674     PISSN: 02732300     EISSN: 10960295     Source Type: Journal    
DOI: 10.1016/j.yrtph.2014.07.010     Document Type: Article

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