Abstract
Reaction and diffusion processes are used to model chemical and biological processes over a wide range of spatial and temporal scales. Several routes to the diffusion process at various levels of description in time and space are discussed and the master equation for spatially discretized systems involving reaction and diffusion is developed. We discuss an estimator for the appropriate compartment size for simulating reaction-diffusion systems and introduce a measure of fluctuations in a discretized system. We then describe a new computational algorithm for implementing a modified Gillespie method for compartmental systems in which reactions are aggregated into equivalence classes and computational cells are searched via an optimized tree structure. Finally, we discuss several examples that illustrate the issues that have to be addressed in general systems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 854-894 |
| Number of pages | 41 |
| Journal | Bulletin of mathematical biology |
| Volume | 76 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2014 |
Bibliographical note
Funding Information:Acknowledgements Research supported in part by Grant # GM 29123 from the National Institutes of Health, and in part by the Mathematical Biosciences Institute and the National Science Foundation under grant DMS 0931642.
Keywords
- Computational grid
- Gillespie method
- Stochastic analysis