Abstract
The applicability and reliability of existing predictive models can definitely be improved by unraveling the underlying mechanisms and incorporating intracellular (microscopic) information. Following a systems biology approach, the link between the intracellular fluxes and the extracellular measurements is established by techniques of metabolic flux analysis. Flux balance analysis (FBA) uses an objective function to derive, through optimization over the solution space of this underdetermined linear system, an intracellular flux distribution. This paper discusses the background of the FBA approach and focuses on important issues with respect to the implementation of FBA analysis when modeling dynamic systems.
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