In silico models for the prediction of dose-dependent human hepatotoxicity

Journal of Computer-Aided Molecular Design

Volumn 17, Issue 12, 2003, Pages 811-823

  Cheng, Ailan ^a,b   Dixon, Steven L ^a,b  

^a CN5375   (United States)

^b NONE   (United States)

Author keywords

2D descriptors; Classification; Data mining; Ensemble recursive partitioning; Hepatotocixity; Liver variable selection

Indexed keywords

BIOCHEMISTRY; CLASSIFICATION (OF INFORMATION); DIGITAL LIBRARIES; DRUG DOSAGE; FORECASTING;

2D DESCRIPTOR; DESCRIPTORS; DOSE-DEPENDENT; ENSEMBLE RECURSIVE PARTITIONING; HEPATOTOCIXITY; HEPATOTOXICITY; IN-SILICO MODELS; LIVER VARIABLE SELECTION; RECURSIVE PARTITIONING; VARIABLES SELECTIONS;

DATA MINING;

2,3,7,8 TETRACHLORODIBENZO PARA DIOXIN; ACETALDEHYDE; ACETIC ACID ETHYL ESTER; ANAGRELIDE; BUTYRIC ACID DERIVATIVE; CARBAMAZEPINE; CARBON TETRACHLORIDE; CARBOXYLIC ACID; CHLORDECONE; CLONIDINE; FUROSEMIDE; HEXACHLOROPHENE; INDICINE N OXIDE; ISOPENTYL ACETATE; LORAZEPAM; PROLINE; SENECIPHYLLINE; TANNIN; URETHAN;

ACCURACY; ARTICLE; COMPUTER MODEL; CONTROLLED STUDY; DECISION THEORY; DOSE RESPONSE; DRUG CLASSIFICATION; DRUG STRUCTURE; INFORMATION PROCESSING; LIBRARY; LIVER TOXICITY; PREDICTION; PRIORITY JOURNAL; PROCESS MODEL; STRUCTURE ANALYSIS;

EID: 1942475425     PISSN: 0920654X     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JCAM.0000021834.50768.c6     Document Type: Article

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