• Login
    View Item 
    •   Home
    • Office of Sponsored Research (OSR)
    • KAUST Funded Research
    • Publications Acknowledging KAUST Support
    • View Item
    •   Home
    • Office of Sponsored Research (OSR)
    • KAUST Funded Research
    • Publications Acknowledging KAUST Support
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Identification of drug targets by chemogenomic and metabolomic profiling in yeast

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Wu, Manhong
    Zheng, Ming
    Zhang, Weiruo
    Suresh, Sundari
    Schlecht, Ulrich
    Fitch, William L.
    Aronova, Sofia
    Baumann, Stephan
    Davis, Ronald
    St.Onge, Robert
    Dill, David L.
    Peltz, Gary
    Date
    2012-12
    Permanent link to this record
    http://hdl.handle.net/10754/598548
    
    Metadata
    Show full item record
    Abstract
    OBJECTIVE: To advance our understanding of disease biology, the characterization of the molecular target for clinically proven or new drugs is very important. Because of its simplicity and the availability of strains with individual deletions in all of its genes, chemogenomic profiling in yeast has been used to identify drug targets. As measurement of drug-induced changes in cellular metabolites can yield considerable information about the effects of a drug, we investigated whether combining chemogenomic and metabolomic profiling in yeast could improve the characterization of drug targets. BASIC METHODS: We used chemogenomic and metabolomic profiling in yeast to characterize the target for five drugs acting on two biologically important pathways. A novel computational method that uses a curated metabolic network was also developed, and it was used to identify the genes that are likely to be responsible for the metabolomic differences found. RESULTS AND CONCLUSION: The combination of metabolomic and chemogenomic profiling, along with data analyses carried out using a novel computational method, could robustly identify the enzymes targeted by five drugs. Moreover, this novel computational method has the potential to identify genes that are causative of metabolomic differences or drug targets. © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins.
    Citation
    Wu M, Zheng M, Zhang W, Suresh S, Schlecht U, et al. (2012) Identification of drug targets by chemogenomic and metabolomic profiling in yeast. Pharmacogenetics and Genomics 22: 877–886. Available: http://dx.doi.org/10.1097/FPC.0b013e32835aa888.
    Sponsors
    G.P. and M. W. were partially supported by funding from a transformative RO1 award (1R01DK090992-01). D. L. D. and W.Z. were supported by a King Abdullah University of Science and Technology (KAUST) research grant under the KAUST Stanford Academic Excellence Alliance program. S. S., U. S., R. D. and B. S. were partially supported by funding from the National Human Genome Research Institute (2R01HG003317-05) provided to R.D.
    Publisher
    Ovid Technologies (Wolters Kluwer Health)
    Journal
    Pharmacogenetics and Genomics
    DOI
    10.1097/FPC.0b013e32835aa888
    PubMed ID
    23076370
    ae974a485f413a2113503eed53cd6c53
    10.1097/FPC.0b013e32835aa888
    Scopus Count
    Collections
    Publications Acknowledging KAUST Support

    entitlement

    Related articles

    • Metabolomic profiling reveals bacterial metabolic adaptation strategies and new metabolites.
    • Authors: Wang H, de Carvalho LPS
    • Issue date: 2023 Mar 20
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.