Prediction of Organ Toxicity Endpoints by QSAR Modeling Based on Precise Chemical-Histopathology Annotations

Chemical Biology and Drug Design

Volumn 80, Issue 3, 2012, Pages 406-416

  Myshkin, Eugene ^a   Brennan, Richard ^a   Khasanova, Tatiana ^a   Sitnik, Tatiana ^a   Serebriyskaya, Tatiana ^a   Litvinova, Elena ^a   Guryanov, Alexey ^a   Nikolsky, Yuri ^a   Nikolskaya, Tatiana ^a   Bureeva, Svetlana ^a  

^a Thomson Reuters   (United States)

Author keywords

Database of chemical toxicity; Histopathology; Kidney toxicity; Liver toxicity; Ontology of toxic pathology; Organ toxicity; Quantitative structure activity relationship; Recursive partitioning

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; CHEMICAL STRUCTURE; DRUG INDUSTRY; HISTOPATHOLOGY; KIDNEY INJURY; KIDNEY MASS; LIPID STORAGE; LIVER NECROSIS; LIVER TOXICITY; LIVER WEIGHT; MOUSE; NEPHROTOXICITY; NONHUMAN; PREDICTIVE VALUE; PRIORITY JOURNAL; QUANTITATIVE HISTOCHEMISTRY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RAT; STRUCTURE ANALYSIS;

ANIMALS; DATABASES, FACTUAL; DRUG TOXICITY; DRUG-INDUCED LIVER INJURY; KIDNEY; KIDNEY DISEASES; LIVER; MICE; MODELS, BIOLOGICAL; PHARMACEUTICAL PREPARATIONS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RATS;

RATTUS;

EID: 84864137933     PISSN: 17470277     EISSN: 17470285     Source Type: Journal    
DOI: 10.1111/j.1747-0285.2012.01411.x     Document Type: Article

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