Abstract
In recent years, stochastic modelling has emerged as a physically
more realistic alternative for modelling in vivo reactions. There
are numerous stochastic approaches available in the literature; most
of these assume that observed random fluctuations are a consequence
of the small number of reacting molecules. We review some important
developments of the stochastic approach and consider its suitability
for modelling intracellular reactions. We then describe recent efforts
to include the fluctuation effects caused by the structural organisation
of the cytoplasm and the limited diffusion of molecules due to macromolecular
crowding.
- 15261147
- algorithms,
- biochemistry,
- biology,
- carlo
- chemical,
- computational
- computer
- fractals,
- gov't,
- kinetics,
- metabolism,
- method,
- models,
- monte
- non-u.s.
- processes,
- research
- simulation,
- stochastic
- support,
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