Hybrid in silico models for drug-induced liver injury using chemical descriptors and in vitro cell-imaging information

Journal of Applied Toxicology

Volumn 34, Issue 3, 2014, Pages 281-288

  Zhu, Xiang Wei ^a   Sedykh, Alexander ^b   Liu, Shu Shen ^a  

^a Tongji University ^*  (China)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Hepatotoxicity; Hybrid model; Quantitative structure activity relationship; Random forest; Receiver operating characteristic

Indexed keywords

ACCURACY; ARTICLE; CHEMICAL STRUCTURE; COMPUTER MODEL; CONTROLLED STUDY; HUMAN; HUMAN CELL; HYBRID; IN VITRO STUDY; LIVER CELL; LIVER TOXICITY; PATIENT SAFETY; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RANDOM FOREST; SCREENING; TOXIC HEPATITIS;

HEPATOTOXICITY; HYBRID MODEL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RANDOM FOREST; RECEIVER-OPERATING CHARACTERISTIC;

COMPUTER SIMULATION; DRUG-INDUCED LIVER INJURY; FORECASTING; HEPATOCYTES; HUMANS; MODELS, BIOLOGICAL; MODELS, CHEMICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; XENOBIOTICS;

EID: 84892955302     PISSN: 0260437X     EISSN: 10991263     Source Type: Journal    
DOI: 10.1002/jat.2879     Document Type: Article

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