Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896545186> ?p ?o ?g. }
- W2896545186 endingPage "e1006687" @default.
- W2896545186 startingPage "e1006687" @default.
- W2896545186 abstract "Cellular functions are shaped by reaction networks whose dynamics are determined by the concentrations of underlying components. However, cellular mechanisms ensuring that a component’s concentration resides in a given range remain elusive. We present network properties which suffice to identify components whose concentration ranges can be efficiently computed in mass-action metabolic networks. We show that the derived ranges are in excellent agreement with simulations from a detailed kinetic metabolic model of Escherichia coli. We demonstrate that the approach can be used with genome-scale metabolic models to arrive at predictions concordant with measurements from Escherichia coli under different growth scenarios. By application to 14 genome-scale metabolic models from diverse species, our approach specifies the cellular determinants of concentration ranges that can be effectively employed to make predictions for a variety of biotechnological and medical applications." @default.
- W2896545186 created "2018-10-26" @default.
- W2896545186 creator A5050752110 @default.
- W2896545186 creator A5055871787 @default.
- W2896545186 creator A5059658943 @default.
- W2896545186 creator A5076124302 @default.
- W2896545186 date "2019-01-24" @default.
- W2896545186 modified "2023-10-12" @default.
- W2896545186 title "Cellular determinants of metabolite concentration ranges" @default.
- W2896545186 cites W1484198052 @default.
- W2896545186 cites W1862094217 @default.
- W2896545186 cites W1967500610 @default.
- W2896545186 cites W1979833590 @default.
- W2896545186 cites W1987607959 @default.
- W2896545186 cites W2004235182 @default.
- W2896545186 cites W2005496979 @default.
- W2896545186 cites W2017986168 @default.
- W2896545186 cites W2022012525 @default.
- W2896545186 cites W2044306109 @default.
- W2896545186 cites W2044935306 @default.
- W2896545186 cites W2056756011 @default.
- W2896545186 cites W2082382448 @default.
- W2896545186 cites W2091087653 @default.
- W2896545186 cites W2102164505 @default.
- W2896545186 cites W2107409961 @default.
- W2896545186 cites W2123232727 @default.
- W2896545186 cites W2124737787 @default.
- W2896545186 cites W2128746754 @default.
- W2896545186 cites W2133505559 @default.
- W2896545186 cites W2141776893 @default.
- W2896545186 cites W2147472054 @default.
- W2896545186 cites W2150187794 @default.
- W2896545186 cites W2152360790 @default.
- W2896545186 cites W2156577211 @default.
- W2896545186 cites W2169137285 @default.
- W2896545186 cites W2293953879 @default.
- W2896545186 cites W2301389244 @default.
- W2896545186 cites W2306891483 @default.
- W2896545186 cites W2346094579 @default.
- W2896545186 cites W2539530515 @default.
- W2896545186 cites W2810239425 @default.
- W2896545186 cites W2964184662 @default.
- W2896545186 cites W4237997615 @default.
- W2896545186 doi "https://doi.org/10.1371/journal.pcbi.1006687" @default.
- W2896545186 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6345444" @default.
- W2896545186 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30677015" @default.
- W2896545186 hasPublicationYear "2019" @default.
- W2896545186 type Work @default.
- W2896545186 sameAs 2896545186 @default.
- W2896545186 citedByCount "7" @default.
- W2896545186 countsByYear W28965451862019 @default.
- W2896545186 countsByYear W28965451862020 @default.
- W2896545186 countsByYear W28965451862022 @default.
- W2896545186 crossrefType "journal-article" @default.
- W2896545186 hasAuthorship W2896545186A5050752110 @default.
- W2896545186 hasAuthorship W2896545186A5055871787 @default.
- W2896545186 hasAuthorship W2896545186A5059658943 @default.
- W2896545186 hasAuthorship W2896545186A5076124302 @default.
- W2896545186 hasBestOaLocation W28965451861 @default.
- W2896545186 hasConcept C101810790 @default.
- W2896545186 hasConcept C104317684 @default.
- W2896545186 hasConcept C121332964 @default.
- W2896545186 hasConcept C141231307 @default.
- W2896545186 hasConcept C159985019 @default.
- W2896545186 hasConcept C168167062 @default.
- W2896545186 hasConcept C186060115 @default.
- W2896545186 hasConcept C192562407 @default.
- W2896545186 hasConcept C204323151 @default.
- W2896545186 hasConcept C2777477808 @default.
- W2896545186 hasConcept C2908821069 @default.
- W2896545186 hasConcept C2994212657 @default.
- W2896545186 hasConcept C41008148 @default.
- W2896545186 hasConcept C54355233 @default.
- W2896545186 hasConcept C547475151 @default.
- W2896545186 hasConcept C55493867 @default.
- W2896545186 hasConcept C62231903 @default.
- W2896545186 hasConcept C70721500 @default.
- W2896545186 hasConcept C86803240 @default.
- W2896545186 hasConcept C97355855 @default.
- W2896545186 hasConceptScore W2896545186C101810790 @default.
- W2896545186 hasConceptScore W2896545186C104317684 @default.
- W2896545186 hasConceptScore W2896545186C121332964 @default.
- W2896545186 hasConceptScore W2896545186C141231307 @default.
- W2896545186 hasConceptScore W2896545186C159985019 @default.
- W2896545186 hasConceptScore W2896545186C168167062 @default.
- W2896545186 hasConceptScore W2896545186C186060115 @default.
- W2896545186 hasConceptScore W2896545186C192562407 @default.
- W2896545186 hasConceptScore W2896545186C204323151 @default.
- W2896545186 hasConceptScore W2896545186C2777477808 @default.
- W2896545186 hasConceptScore W2896545186C2908821069 @default.
- W2896545186 hasConceptScore W2896545186C2994212657 @default.
- W2896545186 hasConceptScore W2896545186C41008148 @default.
- W2896545186 hasConceptScore W2896545186C54355233 @default.
- W2896545186 hasConceptScore W2896545186C547475151 @default.
- W2896545186 hasConceptScore W2896545186C55493867 @default.
- W2896545186 hasConceptScore W2896545186C62231903 @default.
- W2896545186 hasConceptScore W2896545186C70721500 @default.
- W2896545186 hasConceptScore W2896545186C86803240 @default.