Step-by-step Robustness for Biochemical Networks

We propose a notion of robustness for biochemical networks that, intuitively, measures the ability of the network to exhibit step-by-step limited variations on the concentration of a species of interest at varying of the initial concentration of other species. We provide a statistical technique allowing for estimating robustness and showcase it on the EnvZ/OmpR Osmoregulatory Signal System of E. coli.