Importance of structural information in predicting human acute toxicity from in vitro cytotoxicity data

Toxicology and Applied Pharmacology

Volumn 246, Issue 1-2, 2010, Pages 38-48

  Lee, Soyoung ^a   Park, Keunwan ^a   Ahn, Hee Sung ^a   Kim, Dongsup ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Cytotoxicity; Human acute toxicity; Molecular descriptor; Multiple linear regression; Prediction; Variable selection

Indexed keywords

2,4 DICHLOROPHENOXYACETIC ACID; ACETONITRILE; ACETYLSALICYLIC ACID; ALCOHOL; AMIODARONE; AMITRIPTYLINE; ARSENIC TRIOXIDE; BICARBONATE; CARBAMAZEPINE; CHLORAL HYDRATE; CHLORAMPHENICOL; CHLOROQUINE; CLOMETHIAZOLE; CODEINE; CYCLOSPORIN A; DEXAMPHETAMINE; DICHLORVOS; DIGOXIN; FLUOROURACIL; HEXACHLOROPHENE; LINDANE; MALATHION; MERCURIC CHLORIDE; NICOTINE; PARACETAMOL; PHOSPHINOTHRICIN; RIFAMPICIN; SODIUM CHLORIDE; UNINDEXED DRUG; WARFARIN;

ACCURACY; ACUTE TOXICITY; ARTICLE; CYTOTOXICITY; DRUG ABSORPTION; DRUG BINDING; DRUG HALF LIFE; DRUG STRUCTURE; DRUG TRANSFORMATION; HUMAN; HYDROGEN BOND; IN VITRO STUDY; IN VIVO STUDY; PREDICTION;

CYTOTOXINS; HUMANS; INHIBITORY CONCENTRATION 50; LINEAR MODELS; MODELS, BIOLOGICAL; PREDICTIVE VALUE OF TESTS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 77953811797     PISSN: 0041008X     EISSN: 10960333     Source Type: Journal    
DOI: 10.1016/j.taap.2010.04.004     Document Type: Article

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