Fluctuation preserving coarse graining for biochemical systems

Details Fluctuation preserving coarse graining for biochemical systems Fluctuation preserving coarse graining for biochemical systems

2011-12-20

arxiv.org/abs/1112.4745v1

Physics

Biological Physics

4 pages, 4 figures

Scientific paper

Finite stochastic Markov models play a major role for modelling biochemical pathways. Such models are a coarse-grained description of the underlying microscopic dynamics and can be considered mesoscopic. The level of coarse-graining is to a certain extend arbitrary since it depends on the resolution of accomodating measurements. Here, we present a way to simplify such stochastic descriptions, which preserves both the meso-micro and the meso-macro connection. The former is achieved by demanding locality, the latter by considering cycles on the network of states. Using single- and multicycle examples we demonstrate how our new method preserves fluctuations of observables much better than na\"ive approaches.

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