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Multiple Equilibria in Complex Chemical Reaction Networks: II. The Species-Reaction Graph
Abstract
For mass action kinetics, the capacity for multiple equilibria in an isothermal homogeneous continuous flow stirred tank reactor is determined by the structure of the underlying network of chemical reactions. We suggest a new graph-theoretical method for discriminating between complex reaction networks that can admit multiple equilibria and those that cannot. In particular, we associate with each network a species-reaction graph, which is similar to reaction network representations drawn by biochemists, and we show that, if the graph satisfies certain weak conditions, the differential equations corresponding to the network cannot admit multiple equilibria {\em no matter what values the rate constants take}. Because these conditions are very mild, they amount to powerful (and quite delicate) necessary conditions that a network must satisfy if it is to have the capacity to engender multiple equilibria. Broad qualitative results of this kind are especially apt, for individual reaction rate constants are rarely known fully for complex reaction networks (if they are known at all). Some concluding remarks address connections to biology.
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Horn, F., & Jackson, R. (1972) · Archive for Rational Mechanics and Analysis · doi:10.1007/bf00251225 · Cited by 1,014
A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision.
Xiong, W., & Ferrell, J. E. (2003) · Nature · doi:10.1038/nature02089 · Cited by 741
Cited by
Understanding bistability in complex enzyme-driven reaction networks
Craciun, G., Tang, Y., & Feinberg, M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602767103 · Cited by 300
Self-citationIdentifiability of chemical reaction networks
Craciun, G., & Pantea, C. (2008) · Journal of Mathematical Chemistry · doi:10.1007/s10910-007-9307-x · Cited by 146
A structural classification of candidate oscillatory and multistationary biochemical systems
Blanchini, F., Franco, E., & Giordano, G. (2014) · Bulletin of Mathematical Biology · doi:10.1007/s11538-014-0023-y · Cited by 54
Metadata
- Authors
- Craciun, G., & Feinberg, M.
- Venue
- SIAM Journal on Applied Mathematics
- Published
- 2006-01
- Volume
- 66
- Issue
- 4
- Pages
- 1321-1338
- ISSN
- 0036-1399 (ISSN-L)
- 1095-712X
- OpenAlex
- W2091695815
- Cited by
- 269
- References
- 2
- FWCI
- 17.94
- Type
- journal article
- Language
- en
- Open access
- closed
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