MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis

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dc.contributor.authorLee, DYko
dc.contributor.authorYun, Hko
dc.contributor.authorPark, Sunwonko
dc.contributor.authorLee, SangYupko
dc.date.accessioned2011-07-11T01:56:58Z-
dc.date.available2011-07-11T01:56:58Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2003-11-
dc.identifier.citationBIOINFORMATICS, v.19, no.16, pp.2144 - 2146-
dc.identifier.issn1367-4803-
dc.identifier.urihttp://hdl.handle.net/10203/24553-
dc.description.abstractMetaFluxNet is a program package for managing information on the metabolic reaction network and for quantitatively analyzing metabolic fluxes in an interactive and customized way. It allows users to interpret and examine metabolic behavior in response to genetic and/or environmental modifications. As a result, quantitative in silico simulations of metabolic pathways can be carried out to understand the metabolic status and to design the metabolic engineering strategies. The main features of the program include a well-developed model construction environment, user-friendly interface for metabolic flux analysis (MFA), comparative MFA of strains having different genotypes under various environmental conditions, and automated pathway layout creation.-
dc.description.sponsorshipThisworkwas supported by the National Research Laboratory program of the MOST, the Advanced Backbone IT Development project of the MIC and MOST, and by the BK21 project. Hardware for DB development was supported by IBM-SUR program.en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherOXFORD UNIV PRESS-
dc.titleMetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis-
dc.typeArticle-
dc.identifier.wosid000186448900018-
dc.identifier.scopusid2-s2.0-0242475329-
dc.type.rimsART-
dc.citation.volume19-
dc.citation.issue16-
dc.citation.beginningpage2144-
dc.citation.endingpage2146-
dc.citation.publicationnameBIOINFORMATICS-
dc.identifier.doi10.1093/bioinformatics/btg271-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorPark, Sunwon-
dc.contributor.localauthorLee, SangYup-
dc.contributor.nonIdAuthorLee, DY-
dc.contributor.nonIdAuthorYun, H-
dc.type.journalArticleArticle-
dc.subject.keywordPlusNETWORKS-
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