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• W2566157169 abstract "Abstract Genome-scale metabolic modeling has become an invaluable tool to analyze properties and capabilities of metabolic networks and has been particularly successful for the model organism Escherichia coli. However, for several applications, smaller metabolic (core) models are needed. Using a recently introduced reduction algorithm and the latest E. coli genome-scale reconstruction i JO1366, we derived EColiCore2 , a model of the central metabolism of E. coli. EColiCore2 is a subnetwork of i JO1366 and preserves predefined phenotypes including optimal growth on different substrates. The network comprises 486 metabolites and 499 reactions, is accessible for elementary-modes analysis and can, if required, be further compressed to a network with 82 reactions and 54 metabolites having an identical solution space as EColiCore2 . A systematic comparison of EColiCore2 with its genome-scale parent model i JO1366 reveals that several key properties (flux ranges, reaction essentialities, production envelopes) of the central metabolism are preserved in EColiCore2 while it neglects redundancies along biosynthetic routes. We also compare calculated metabolic engineering strategies in both models and demonstrate, as a general result, how intervention strategies found in a core model allow the identification of valid strategies in a genome-scale model. Overall, EColiCore2 holds promise to become a reference model of E. coli ’s central metabolism." @default.
• W2566157169 created "2017-01-06" @default.
• W2566157169 creator A5056109256 @default.
• W2566157169 creator A5080707502 @default.
• W2566157169 date "2017-01-03" @default.
• W2566157169 modified "2023-10-17" @default.
• W2566157169 title "EColiCore2: a reference network model of the central metabolism of Escherichia coli and relationships to its genome-scale parent model" @default.
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• W2566157169 doi "https://doi.org/10.1038/srep39647" @default.
• W2566157169 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5206746" @default.
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