Advancing metabolic models with kinetic information


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Date

2014-10-01

Publication Type

Journal Article

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Abstract

Kinetic models are crucial to quantitatively understand and predict how functional behavior emerges from dynamic concentration changes of cellular components. The current challenge is on resolving uncertainties about parameter values of reaction kinetics. Additionally, there are also major structural uncertainties due to unknown molecular interactions and only putatively assigned regulatory functions. What if one or few key regulators of biochemical reactions are missing in a metabolic model? By reviewing current advances in building kinetic models of metabolism, we found that such models experience a paradigm shift away from fitting parameters towards identifying key regulatory interactions. © 2014 Elsevier Ltd.

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published

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Volume

29 (1)

Pages / Article No.

8 - 14

Publisher

Elsevier

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03713 - Sauer, Uwe / Sauer, Uwe check_circle

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