In living cells, chemical reactions are connected by sharing their products
and substrates, and form complex networks, e.g. metabolic pathways. Here we
developed a theory to predict the sensitivity, i.e. the responses of
concentrations and fluxes to perturbations of enzymes, from network structure
alone. Responses turn out to exhibit two characteristic patterns,
localization and hierarchy. We present a general theorem connecting
sensitivity with network topology that explains these characteristic patterns.
Our results imply that network topology is an origin of biological robustness.
Finally, we suggest a strategy to determine real networks from experimental
measurements.Comment: 18 pages 5 figures; v2: minor corrections (accepted for publication
in Physical Review Letters