2009 IEEE International Conference on
Systems, Man, and Cybernetics |
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Abstract
Metabolism is characterized by intricate networks
of interactions between biochemical fluxes, metabolic compounds,
and regulatory interactions. To investigate and eventually understand
the dynamic behaviors arising from such networks of
interactions and their associated parameter values is often not
possible by intuitive reasoning alone. In this paper, we study a
class of metabolic networks, where the conservation laws can
be used to identify the parameter range for normal living. The
general results are verified by a simplified model of the Calvin
cycle in photosynthesis.