Hepatotoxicity prediction by systems biology modeling of disturbed metabolic pathways using gene expression data

Altex

Volumn 34, Issue 2, 2017, Pages 219-234

  Carbonell, Pablo ^a,b   Lopez, Oriol ^a   Amberg, Alexander ^c   Pastor, Manuel ^a   Sanz, Ferran ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

^c SANOFI AVENTIS DEUTSCHLAND GMBH   (Germany)

Author keywords

Drug toxicity; Gene regulation; Hepatotoxicity; Predictive modeling; Systems biology

Indexed keywords

ALANINE AMINOTRANSFERASE; ASPARTATE AMINOTRANSFERASE; BILIRUBIN; GAMMA GLUTAMYLTRANSFERASE; PRAVASTATIN; ROSUVASTATIN; SIMVASTATIN;

AMINO ACID METABOLISM; ARTICLE; CITRIC ACID CYCLE; ELASTICITY; EMOTION; FATTY ACID OXIDATION; GENE CONTROL; GENE EXPRESSION; HEPATOBILIARY DISEASE; HISTOPATHOLOGY; HUMAN; LIVER CELL; LIVER CELL DAMAGE; LIVER INJURY; LIVER TOXICITY; METABOLISM; NONHUMAN; SIMULATION; SYSTEMS BIOLOGY; TOXIC DOSE; TRANSCRIPTION REGULATION; UPREGULATION; ADVERSE DRUG REACTION; ANIMAL; ANIMAL TESTING ALTERNATIVE; DRUG EFFECTS; FACTUAL DATABASE; GENE EXPRESSION REGULATION; GENETICS; IN VITRO STUDY; LIVER; PRECLINICAL STUDY; PROCEDURES; RAT; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ANIMAL TESTING ALTERNATIVES; ANIMALS; DATABASES, FACTUAL; DRUG EVALUATION, PRECLINICAL; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; GENE EXPRESSION REGULATION; HEPATOCYTES; HUMANS; IN VITRO TECHNIQUES; LIVER; METABOLIC NETWORKS AND PATHWAYS; MODELS, STATISTICAL; RATS; SENSITIVITY AND SPECIFICITY;

EID: 85018654791     PISSN: 1868596X     EISSN: 18688551     Source Type: Journal    
DOI: 10.14573/altex.1602071     Document Type: Article

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