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Enhancing Microbiome Research through Genome-Scale Metabolic Modeling

dc.contributor.authorAnkrah, N.Y.D
dc.contributor.authorBernstein, David B.
dc.contributor.authorBiggs, Matthew
dc.contributor.authorCarey, Maureen
dc.contributor.authorEngevik, Melinda
dc.contributor.authorGarcía-Jiménez, Beatriz
dc.contributor.authorLakshmanan, Meiyappan
dc.contributor.authorPacheco, Alan R.
dc.contributor.authorSulheim, Snorre
dc.contributor.authorMedlock, Gregory L.
dc.date.accessioned2022-03-23T14:48:58Z
dc.date.available2022-03-23T14:48:58Z
dc.date.created2022-01-19T08:38:26Z
dc.date.issued2021
dc.identifier.citationmSystems. 2021, 6 (6), .en_US
dc.identifier.issn2379-5077
dc.identifier.urihttps://hdl.handle.net/11250/2987152
dc.description.abstractConstruction and analysis of genome-scale metabolic models (GEMs) is a well-established systems biology approach that can be used to predict metabolic and growth phenotypes. The ability of GEMs to produce mechanistic insight into microbial ecological processes makes them appealing tools that can open a range of exciting opportunities in microbiome research. Here, we briefly outline these opportunities, present current rate-limiting challenges for the trustworthy application of GEMs to microbiome research, and suggest approaches for moving the field forward.en_US
dc.language.isoengen_US
dc.publisherAmerican society for microbiologyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectmetabolismen_US
dc.subjectmetabolic modelingen_US
dc.subjectmicrobiomeen_US
dc.titleEnhancing Microbiome Research through Genome-Scale Metabolic Modelingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright © 2021 Ankrah et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.en_US
dc.source.pagenumber8en_US
dc.source.volume6en_US
dc.source.journalmSystemsen_US
dc.source.issue6en_US
dc.identifier.doi10.1128/mSystems.00599-21
dc.identifier.cristin1984259
dc.relation.projectNorges forskningsråd: 309558en_US
dc.source.articlenumbere00599-21en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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