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Flux balance approaches have dealt with this circumstance by seeking to identify fluxes that are experimentally accessible, a strategy that continues to grow in scope (such as by the systematic use of isotopic tracers), as a means to enable estimation of other fluxes that are not accessible. Resolution of the indeterminacy, however, has depended on fortification with additional conceptual tools such as maximizing the biomass yield. Regulatory processes, which are a vital component of metabolism in that they determine what reactions are in fact active in metabolism, are not an explicit aspect of flux balance approaches.
A rational framework for modeling metabolism must accommodate the prediction of all fluxes and in particular the external fluxes which must reflect the consequences of metabolic regulation. Such a framework is therefore forced to address regulatory processes in a comprehensive way. In this regard, the cybernetic modeling concept developed by our research group, that has been evolving since the early eighties, has progressively accommodated features of regulation that have not been within the scope of other modeling approaches. This seminar will focus on an exposition of this framework and its successes together with an assessment of its promise in large scale metabolic modeling and metabolic engineering.
Researchers should cite this work as follows:
Doraiswami Ramkrishna (2007), "On Modeling Metabolic Systems," https://nanohub.org/resources/2165.