A high-throughput metabolomics method to predict high concentration cytotoxicity of drugs from low concentration profiles

Metabolomics

Volumn 8, Issue 3, 2012, Pages 433-443

  Heux, Stéphanie ^a,b   Fuchs, Thomas J ^a,b   Buhmann, Joachim ^a,b   Zamboni, Nicola ^a,b   Sauer, Uwe ^a,b  

^a ETH ZURICH   (Switzerland)

^b Competence Center for Systems Physiology and Metabolic Diseases ^*  (Switzerland)

Author keywords

Drug enzyme interaction; Machine learning; Metabolomics; Method; Off target drug effects; Yeast metabolism

Indexed keywords

6 AMINONICOTINAMIDE; BENOMYL; BUMETANIDE; CAMPTOTHECIN; CHLOROTHIAZIDE; CHLORPROPAMIDE; CIGLITAZONE; CYTARABINE; DACTINOMYCIN; DEOXYGLUCOSE; FENOFIBRATE; FENPROPIMORPH; FLUOROURACIL; FUROSEMIDE; GEMFIBROZIL; INDAPAMIDE; MALONIC ACID; METFORMIN; MEVINOLIN; NIFEDIPINE; NIMODIPINE; OXYTHIAMINE; REPAGLINIDE; SULFOMETURON METHYL; SURAMIN; TAMOXIFEN; TETRAHYDROLIPSTATIN; TOLBUTAMIDE; TROGLITAZONE; UNINDEXED DRUG;

ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; DRUG CYTOTOXICITY; FUNGAL STRAIN; HIGH THROUGHPUT SCREENING; MACHINE LEARNING; METABOLOME; METABOLOMICS; NONHUMAN; PHENOTYPE; SACCHAROMYCES CEREVISIAE; TANDEM MASS SPECTROMETRY;

SACCHAROMYCES CEREVISIAE;

EID: 84861222535     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-011-0386-0     Document Type: Article

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