Computational chemistry approach for the early detection of drug-induced idiosyncratic liver toxicity

Journal of Computational Chemistry

Volumn 29, Issue 4, 2008, Pages 533-549

  Cruz Monteagudo, Maykel ^a,b   Cordeiro, M Natália D S ^a   Borges, Fernanda ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b CENTRAL UNIVERSITY OF LAS VILLAS   (Cuba)

Author keywords

Chemoinformatics; Computational prediction; Drug development; Early detection; Idiosyncratic hepatotoxicity; Quantitative structure toxicity relationships

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; LEARNING SYSTEMS; MOLECULAR STRUCTURE; TOXICITY;

COMPUTATIONAL CHEMISTRY; DRUG DISCOVERY; IDIOSYNCRATIC DRUG TOXICITY (IDT);

DRUG INTERACTIONS;

DRUG;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; CHEMICAL STRUCTURE; CHEMICALLY INDUCED DISORDER; CHEMISTRY; CLASSIFICATION; COMPUTER SIMULATION; HUMAN; LIVER DISEASE; STRUCTURE ACTIVITY RELATION; TIME;

ALGORITHMS; ANIMALS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; HUMANS; LIVER DISEASES; MODELS, BIOLOGICAL; MOLECULAR STRUCTURE; PHARMACEUTICAL PREPARATIONS; STRUCTURE-ACTIVITY RELATIONSHIP; TIME FACTORS;

EID: 39049167553     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.20812     Document Type: Article

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