Chronic oral LOAEL prediction by using a commercially available computational QSAR tool

Archives of Toxicology

Volumn 84, Issue 9, 2010, Pages 681-688

  Rupp, Bernd ^a,b   Appel, Klaus E ^a   Gundert Remy, Ursula ^a,c  

^a FEDERAL INSTITUTE FOR RISK ASSESSMENT   (Germany)

^b LEIBNIZ INSTITUT FÜR MOLEKULARE PHARMAKOLOGIE   (Germany)

^c Inst Clin Pharmacol and Toxicol   (Germany)

Author keywords

Intelligent testing strategy; Naturally occurring substances; Prediction of LOAELs; REACH; Repeated exposure

Indexed keywords

INDUSTRIAL CHEMICAL;

ARTICLE; CHEMICAL STRUCTURE; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; LD 50; LOW OBSERVED ADVERSE LEVEL; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RISK ASSESSMENT; TOXICITY TESTING; TOXICOLOGICAL PARAMETERS;

DATABASES, FACTUAL; ENVIRONMENTAL EXPOSURE; HUMANS; LETHAL DOSE 50; MODELS, STATISTICAL; NO-OBSERVED-ADVERSE-EFFECT LEVEL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RISK ASSESSMENT; SOFTWARE; TOXICITY TESTS, CHRONIC; UNCERTAINTY; UNITED STATES;

ANIMALIA;

EID: 77957771774     PISSN: 03405761     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00204-010-0532-x     Document Type: Article

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