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. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: Curr Opin Biotechnol. 2010 Sep 9;21(5):677–682. doi: 10.1016/j.copbio.2010.08.006

Figure 1.

Figure 1

Classes of mathematical models for biochemical processes in cells and their applicability and assumptions. Well-mixed systems: The underlying biochemical processes with cells are stochastic transformations. However, a deterministic mathematical description may be applicable depending on the number of molecules N of each molecular species in the volume (or area) of interest. This number must be large (N≫1) for a deterministic approach to provide an accurate representation. Basically, the expected stochastic fluctuations of the molecule number (ΔN, the magnitude of intrinsic fluctuations is on the order of N1/2) must be small relative to the absolute number for a deterministic description to be an acceptable assumption. Spatially heterogeneous systems: The well-mixed assumption implies that there is no significant spatial heterogeneity in the system. If this is not true but there are well-defined spatial regions that are homogeneous, then a compartment-based model may be used instead of a fully spatial model.