Integrated computational methods for prediction of the lowest observable adverse effect level of food-borne molecules

QSAR and Combinatorial Science

Volumn 26, Issue 1, 2007, Pages 102-108

  Tilaoui, Leila ^a,b   Schilter, Benoît ^a   Tran, Liên Anh ^a   Mazzatorta, Paolo ^a   Grigorov, Martin ^a,b  

^a NESTLÉ RESEARCH CENTER   (Switzerland)

^b NONE   (France)

Author keywords

Chronic toxicity; Food; LOAEL; QSAR; TOPKAT

Indexed keywords

COMPUTATIONAL CHEMISTRY;

ADVERSE EFFECT; CHRONIC TOXICITY; COMPUTATIONAL ESTIMATION; INTEGRATED SYSTEMS; LOW OBSERVED ADVERSE EFFECT LEVEL; LOW-OBSERVABLE; MOLECULAR DESCRIPTORS; QSAR; SPECIFIC CLASS; TOPKAT;

TOXICITY;

ARTICLE; CHEMICAL STRUCTURE; CHRONIC TOXICITY; COMPUTER PROGRAM; COMPUTER SYSTEM; CONTROLLED STUDY; FOOD SAFETY; MATHEMATICAL COMPUTING; NONHUMAN; NUTRITIONAL SCIENCE; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RAT;

EID: 33846799293     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200610060     Document Type: Article

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