A Theory of Sensitivity Analysis for Biochemical Networks

The analysis of a network usually focuses on its structural properties, with network statistics being derived from node and edge distributions alone. But networks also include a dynamic component, and in some fields -- such as biochemistry - the most interesting properties of a network are associated with its dynamics. In this talk I will describe a theory developed for the analysis of biochemical networks, Metabolic Control Analysis (MCA), which attempts to quantitatively identify the "important" parameters of systems of enzyme catalyzed reactions. I will attempt to generalize this theory, and compare it with others being developed and used within the group to study networks.