HIGHLIGHTS
- who: Tuure Hameri from the Laboratory of Computational , Lausanne, Switzerland have published the research: The effects of model complexity and size on metabolic flux distribution and control: case study in, in the Journal: (JOURNAL)
- what: Using this workflow the authors demonstrate that model complexity in terms of networks size has significant impact on sensitivity characteristics of kinetic models. This study investigates the effect of kinetic model complexity - in terms of reaction network size - and its effect on metabolic engineering conclusions derived from MSCs. The authors demonstrate that, even when the model preserve certain minimum assumptions . . .
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