Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype p...
Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly-[gamma]-glutamic acid production strains
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Publisher
BioMed Central Ltd
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Language
English
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Publisher
BioMed Central Ltd
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Scope and Contents
Contents
Genome-scale metabolic models (GEMs) allow predicting metabolic phenotypes from limited data on uptake and secretion fluxes by defining the space of all the feasible solutions and excluding physio-chemically and biologically unfeasible behaviors. The integration of additional biological information in genome-scale models, e.g., transcriptomic or pr...
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Full title
Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly-[gamma]-glutamic acid production strains
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TN_cdi_gale_infotracmisc_A581402546
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A581402546
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ISSN
1475-2859
E-ISSN
1475-2859
DOI
10.1186/s12934-018-1052-2
