Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly-γ-glutamic acid production strains

BACKGROUND: 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...

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Detalles Bibliográficos
Autores principales: Massaiu, Ilaria, Pasotti, Lorenzo, Sonnenschein, Nikolaus, Rama, Erlinda, Cavaletti, Matteo, Magni, Paolo, Calvio, Cinzia, Herrgård, Markus J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325765/
https://www.ncbi.nlm.nih.gov/pubmed/30626384
http://dx.doi.org/10.1186/s12934-018-1052-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325765/
https://www.ncbi.nlm.nih.gov/pubmed/30626384
http://dx.doi.org/10.1186/s12934-018-1052-2

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