A network-based parametrization of positive steady states of power-law kinetic systems
DOI10.1007/s10910-023-01505-4zbMath1522.92023OpenAlexW4386011655MaRDI QIDQ6081448
Bryan S. Hernandez, Kaitlyn Deen E. Buendicho
Publication date: 5 October 2023
Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10910-023-01505-4
power-law kineticschemical reaction networkspositive steady statespositive equilibriaabsolute concentration robustnessnetwork translationcarbon cycle modelgeneralized chemical reaction networks
Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Biochemistry, molecular biology (92C40) Systems biology, networks (92C42)
Cites Work
- Translated chemical reaction networks
- Design principles for robust biochemical reaction networks: what works, what cannot work, and what might almost work
- Reaction networks and kinetics of biochemical systems
- Foundations of chemical reaction network theory
- A deficiency-one algorithm for power-law kinetic systems with reactant-determined interactions
- Independent decompositions of chemical reaction networks
- A computational approach to multistationarity of power-law kinetic systems
- A deficiency-based approach to parametrizing positive equilibria of biochemical reaction systems
- Computing weakly reversible deficiency zero network translations using elementary flux modes
- Robustness in power-law kinetic systems with reactant-determined interactions
- Comparative analysis of carbon cycle models via kinetic representations
- Generalized Mass-Action Systems and Positive Solutions of Polynomial Equations with Real and Symbolic Exponents (Invited Talk)
- Generalized Mass Action Systems: Complex Balancing Equilibria and Sign Vectors of the Stoichiometric and Kinetic-Order Subspaces
- Independent, Incidence Independent and Weakly Reversible Decompositions of Chemical Reaction Networks
- Fundamental Decompositions and Multistationarity of Power-Law Kinetic Systems
- Computational Translation Framework Identifies Biochemical Reaction Networks with Special Topologies and Their Long-Term Dynamics
This page was built for publication: A network-based parametrization of positive steady states of power-law kinetic systems