This thesis uses a systems-level approach to study the cellular
metabolism, unveiling new mechanisms and responses that were
impossible to reach with traditional reductionists procedures. The
results reported here have a potential application in areas like
metabolic engineering and disease treatment. They could also be
used in determining the accuracy of the gene essentiality of new
genome-scale reconstructions. Different methods and techniques,
within the contexts of Systems Biology and the field known as
Complex Networks Analysis have been applied in this work to show
different features of the robustness of metabolic networks. The
specific issues addressed here range from pure topological aspec ts
of the networks themselves to the balance of biochemical fluxes.
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