Current state and challenges for dynamic metabolic modeling

Highlights • Kinetic metabolic modeling could enable rational bioengineering and dynamic understanding of metabolism. • We discuss experimental and computational approaches to reach validated kinetic models and highlight current methods and tools. • Achieving predictive kinetic models requires an in...

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Veröffentlicht in:	Current opinion in microbiology 2016-10, Vol.33, p.97-104
Hauptverfasser:	Vasilakou, Eleni, Machado, Daniel, Theorell, Axel, Rocha, Isabel, Nöh, Katharina, Oldiges, Marco, Wahl, S Aljoscha
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational Biology - methods Escherichia coli - metabolism High-Throughput Screening Assays Metabolic Networks and Pathways - physiology Metabolome Models, Biological Pathology Saccharomyces cerevisiae - metabolism
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Zusammenfassung:	Highlights • Kinetic metabolic modeling could enable rational bioengineering and dynamic understanding of metabolism. • We discuss experimental and computational approaches to reach validated kinetic models and highlight current methods and tools. • Achieving predictive kinetic models requires an interdisciplinary team, combining well defined experimental systems, advanced analytical approaches and computational developments.
ISSN:	1369-5274 1879-0364
DOI:	10.1016/j.mib.2016.07.008