Table of Contents

A primer on control engineering.
Modeling and analysis of stochastic biochemical networks.
Spatial modeling.
Quantifying properties of cell signaling cascades.
Control strategies in times of adversity.
Synthetic biology : a systems engineering perspective.
Graphs and the dynamics of biochemical networks.
A control-theoretic interpretation of metabolic control analysis.
Robustness and sensitivity analyses in cellular networks.
Structural robustness of biochemical networks : quantifying robustness and identifying fragilities.
Robustness of oscillations in biological systems.
A theory of approximation for stochastic biochemical processes.
System theoretic approaches to network reconstruction.
Identification of biochemical reaction networks using a parameter-free coordinate system. This is a survey of how engineering techniques from control and systems theory can be used to help biologists understand the behaviour of cellular systems.