Dynamic response phenotypes and model discrimination in systems and synthetic biology
The paper argues that biological function is best understood by studying how systems respond to changing inputs over time, not just their final steady state. By analyzing dynamic features like overshoots and adaptation kinetics, researchers can gain structural information about underlying network architecture. This approach uses control theory to mathematically distinguish between different biological models based on observable transient behaviors rather than relying solely on kinetic parameters.