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• W4200415024 abstract "Trade-offs are inherent to biochemical networks governing diverse cellular functions, from gene expression to metabolism. Yet, trade-offs between fluxes of biochemical reactions in a metabolic network have not been formally studied. Here, we introduce the concept of absolute flux trade-offs and devise a constraint-based approach, termed FluTO, to identify and enumerate flux trade-offs in a given genome-scale metabolic network. By employing the metabolic networks of Escherichia coli and Saccharomyces cerevisiae, we demonstrate that the flux trade-offs are specific to carbon sources provided but that reactions involved in the cofactor and prosthetic group biosynthesis are present in trade-offs across all carbon sources supporting growth. We also show that absolute flux trade-offs depend on the biomass reaction used to model the growth of Arabidopsis thaliana under different carbon and nitrogen conditions. The identified flux trade-offs reflect the tight coupling between nitrogen, carbon, and sulphur metabolisms in leaves of C3 plants. Altogether, FluTO provides the means to explore the space of alternative metabolic routes reflecting the constraints imposed by inherent flux trade-offs in large-scale metabolic networks." @default.
• W4200415024 created "2021-12-31" @default.
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• W4200415024 date "2021-12-10" @default.
• W4200415024 modified "2023-09-26" @default.
• W4200415024 title "Identification of flux trade-offs in metabolic networks" @default.
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• W4200415024 doi "https://doi.org/10.1038/s41598-021-03224-9" @default.
• W4200415024 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34893666" @default.
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