Chemogenomic profiling predicts antifungal synergies

Molecular Systems Biology

Volumn 5, Issue , 2009, Pages

  Jansen, Gregor ^a   Lee, Anna Y ^b,c   Epp, Elias ^c,d   Fredette, Amélie ^a   Surprenant, Jamie ^a   Harcus, Doreen ^d   Scott, Michelle ^b,f   Tan, Elaine ^a   Nishimura, Tamiko ^a   Whiteway, Malcolm ^c,d   Hallett, Michael ^b,c,e   Thomas, David Y ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c MCGILL UNIVERSITY   (Canada)

^d NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^e MCGILL UNIVERSITY   (Canada)

^f UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

Antifungal; Chemical genomics; Drug profiling; Synergy predictor

Indexed keywords

ALVERINE CITRATE; ANTIFUNGAL AGENT; CASPOFUNGIN; CYCLOSPORIN A; FENPROPIMORPH; FLUCONAZOLE; LATRUNCULIN A; TACROLIMUS; TUNICAMYCIN; WORTMANNIN;

ACCURACY; ARTICLE; BIOINFORMATICS; CANDIDA ALBICANS; CHEMICAL GENETICS; DIPLOIDY; DRUG ACTIVITY; FUNGAL STRAIN; GENOMICS; HAPLOIDY; NONHUMAN; PREDICTION; PRIORITY JOURNAL; SACCHAROMYCES CEREVISIAE; VALIDATION PROCESS; ANIMAL; ANTIFUNGAL RESISTANCE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER AIDED DESIGN; DOSE RESPONSE; DRUG COMBINATION; DRUG DESIGN; DRUG EFFECT; DRUG POTENTIATION; GENE EXPRESSION REGULATION; GENETICS; GROWTH, DEVELOPMENT AND AGING; HUMAN; REPRODUCIBILITY; STRUCTURE ACTIVITY RELATION;

CANDIDA ALBICANS; SACCHAROMYCES CEREVISIAE;

ANIMALS; ANTIFUNGAL AGENTS; CANDIDA ALBICANS; COMPUTATIONAL BIOLOGY; COMPUTER-AIDED DESIGN; DOSE-RESPONSE RELATIONSHIP, DRUG; DRUG DESIGN; DRUG RESISTANCE, FUNGAL; DRUG SYNERGISM; DRUG THERAPY, COMBINATION; FLUCONAZOLE; GENE EXPRESSION REGULATION, FUNGAL; HUMANS; MODELS, MOLECULAR; MOLECULAR STRUCTURE; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 73849141661     PISSN: 17444292     EISSN: 17444292     Source Type: Journal    
DOI: 10.1038/msb.2009.95     Document Type: Article

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