Metabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks

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dc.contributor.authorKim, Tae Yongko
dc.contributor.authorKim, Hyun Ukko
dc.contributor.authorLee, Sang Yupko
dc.date.accessioned2010-11-11T05:44:59Z-
dc.date.available2010-11-11T05:44:59Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2010-03-
dc.identifier.citationMETABOLIC ENGINEERING, v.12, no.2, pp.105 - 111-
dc.identifier.issn1096-7176-
dc.identifier.urihttp://hdl.handle.net/10203/19784-
dc.description.abstractDevelopment of genome-scale metabolic models and various constraints-based flux analyses have enabled more sophisticated examination of metabolism. Recently reported metabolite essentiality studies are also based on the constraints-based modeling, but approaches metabolism from a metabolite-centric perspective, providing synthetic lethal combination of reactions and clues for the rational discovery of antibacterials. In this study, metabolite essentiality analysis was applied to the genome-scale metabolic models of four microorganisms: Escherichia coli, Helicobacter pylori, Mycobacterium tuberculosis and Staphylococcus aureus. Furthermore, chokepoints, metabolites surrounded by enzymes that uniquely consume and/or produce them, were also calculated based on the network properties of the above organisms. A systematic drug targeting strategy was developed by combining information from these two methods. Final drug target metabolites are presented and examined with knowledge from the literature. (C) 2009 Elsevier Inc. All rights reserved.-
dc.description.sponsorshipThis workwassupportedbytheKoreanSystemsBiology ResearchProject(M10309020000-03B5002-00000)oftheMinis- try ofEducation,ScienceandTechnology.Furthersupportsbythe LG ChemChairProfessorship,Microsoft,andIBMSURprogramare appreciated.en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE-
dc.titleMetabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks-
dc.typeArticle-
dc.identifier.wosid000274860200003-
dc.identifier.scopusid2-s2.0-77049123018-
dc.type.rimsART-
dc.citation.volume12-
dc.citation.issue2-
dc.citation.beginningpage105-
dc.citation.endingpage111-
dc.citation.publicationnameMETABOLIC ENGINEERING-
dc.identifier.doi10.1016/j.ymben.2009.05.004-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Hyun Uk-
dc.contributor.localauthorLee, Sang Yup-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorMetabolite-centric approaches-
dc.subject.keywordAuthorMetabolite essentiality-
dc.subject.keywordAuthorChokepoint analysis-
dc.subject.keywordAuthorDrug targeting-
dc.subject.keywordPlusESCHERICHIA-COLI O157-H7-
dc.subject.keywordPlusMYCOBACTERIUM-TUBERCULOSIS-
dc.subject.keywordPlusDRUG DISCOVERY-
dc.subject.keywordPlusFLUX ANALYSIS-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusTARGET-
dc.subject.keywordPlusRECONSTRUCTION-
dc.subject.keywordPlusBIOSYNTHESIS-
dc.subject.keywordPlusFRAMEWORK-
dc.subject.keywordPlusSYNTHASE-
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