On the stability of a class of Michaelis-Menten networks

被引:0
|
作者
Rao, Shodhan [1 ,2 ]
Gasparyan, Manvel [3 ,4 ]
机构
[1] Univ Ghent, Ctr Biosyst & Biotech Data Sci, Global Campus, Incheon, South Korea
[2] Univ Ghent, Dept Data Anal & Math Modeling, Ghent, Belgium
[3] Univ Montpellier, LPHI, CNRS, Montpellier, France
[4] INSERM, Montpellier, France
关键词
Phosphorylation networks; Nonnegative systems; Intermediate value property; Graph theory; Balanced Laplacian; Lyapunov functions; PHOSPHORYLATION;
D O I
10.1016/j.automatica.2024.111837
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present a study of a class of closed Michaelis-Menten network models, which includes models of two categories of biochemical networks previously studied in the literature namely, processive and mixed mechanism phosphorylation futile cycle networks. The main focus of our study is on the uniqueness and stability of equilibrium points of this class of models. Firstly, we demonstrate that the total species concentration is a conserved quantity in models of this class. Next, we prove the existence of a unique positive equilibrium point in the set of points that correspond to a given total species concentration, using the intermediate value property of continuous functions. Finally, we demonstrate the asymptotic stability of this equilibrium point with respect to all initial conditions in the positive orthant that correspond to the same total species concentration as the equilibrium point, by constructing an appropriate Lyapunov function. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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页数:7
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