Title :
Stability analysis of SSN biochemical networks
Author :
Su, Wei ; Lu, Jinhu ; Ogorzalek, Maciej J.
Author_Institution :
Inst. of Syst. Sci., Acad. Math. & Syst. Sci., Beijing, China
Abstract :
This paper further investigates the dynamical properties of a class of basic biochemical networks modules - single substrate and single product with no inhibition (SSN) module. It is well known that the biological networks can be modelled by using different kinetics according to their reaction types. This paper introduces the SSN model under the law of mass action and proves that it can admit uniquely globally asymptotically stable positive equilibrium. Moreover, we prove that the SSN module under Hill kinetics can admit uniquely asymptotically stable positive equilibrium. It indicates some potential applications in the understanding of some biological networks modules and the design of some specific network controllers.
Keywords :
biochemistry; molecular biophysics; physiological models; reaction kinetics theory; Hill kinetics; SSN biochemical networks; globally asymptotically stable positive equilibrium; inhibition; kinetics; mass action; reaction types; single product; single substrate; specific network controllers; stability analysis; Asymptotic stability; Biology; Equations; Kinetic theory; Mathematical model; Silicon; Stability analysis;
Conference_Titel :
Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-4244-9473-6
Electronic_ISBN :
0271-4302
DOI :
10.1109/ISCAS.2011.5938156