Dynamical robustness of biological networks with hierarchical distribution of time scales

Details Dynamical robustness of biological networks with hierarchical distribution of time scales Dynamical robustness of biological networks with hierarchical distribution of time scales

2007-01-15

arxiv.org/abs/q-bio/0701020v1

IET Syst. Biol., 2007, 1, (4), pp. 238--246

Biology

Quantitative Biology

Molecular Networks

Scientific paper

10.1049/iet-syb:20060083

We propose the concepts of distributed robustness and r-robustness, well adapted to functional genetics. Then we discuss the robustness of the relaxation time using a chemical reaction description of genetic and signalling networks. First, we obtain the following result for linear networks: for large multiscale systems with hierarchical distribution of time scales the variance of the inverse relaxation time (as well as the variance of the stationary rate) is much lower than the variance of the separate constants. Moreover, it can tend to 0 faster than 1/n, where n is the number of reactions. We argue that similar phenomena are valid in the nonlinear case as well. As a numerical illustration we use a model of signalling network that can be applied to important transcription factors such as NFkB.

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