Absolute concentration robustness in networks with low-dimensional stoichiometric subspace
DOI10.1007/s10013-021-00524-5zbMath1502.80011arXiv2105.00109OpenAlexW3205630126MaRDI QIDQ2155631
Anne Shiu, Angelica Torres, Nicolette Meshkat
Publication date: 15 July 2022
Published in: Vietnam Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2105.00109
roots of polynomialsmass-action kineticsreaction networkmultiple steady statesabsolute concentration robustness
Applications of graph theory (05C90) Classical flows, reactions, etc. in chemistry (92E20) Numerical computation of solutions to single equations (65H05) Polynomials in real and complex fields: location of zeros (algebraic theorems) (12D10) Chemical kinetics in thermodynamics and heat transfer (80A30) Dynamical systems involving maps of trees and graphs (37E25)
Related Items (7)
Cites Work
- Complex-linear invariants of biochemical networks
- A projection argument for differential inclusions, with applications to persistence of mass-action kinetics
- Translated chemical reaction networks
- Identifiability of chemical reaction networks
- Network translation and steady-state properties of chemical reaction systems
- On the relation between reactions and complexes of (bio)chemical reaction networks
- Mixed volume of small reaction networks
- Discrepancies between extinction events and boundary equilibria in reaction networks
- Simplifying the Jacobian Criterion for Precluding Multistationarity in Chemical Reaction Networks
- Biochemical reaction networks: An invitation for algebraic geometers
- Multistability of Small Reaction Networks
- Weakly Reversible Mass-Action Systems With Infinitely Many Positive Steady States
- Which Small Reaction Networks Are Multistationary?
- Finite Time Distributions of Stochastically Modeled Chemical Systems with Absolute Concentration Robustness
- Polynomial Dynamical Systems, Reaction Networks, and Toric Differential Inclusions
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