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An alternative approach to Michaelis–Menten kinetics that is based on the renormalization group
- Source :
- Mathematical Biosciences. 299:28-50
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- We apply to Michaelis-Menten kinetics an alternative approach to the study of Singularly Perturbed Differential Equations, that is based on the Renormalization Group (SPDERG). To this aim, we first rebuild the perturbation expansion for Michaelis-Menten kinetics, beyond the standard Quasi-Steady-State Approximation (sQSSA), determining the 2nd order contributions to the inner solutions, that are presented here for the first time to our knowledge. Our main result is that the SPDERG 2nd order uniform approximations reproduce the numerical solutions of the original problem in a better way than the known results of the perturbation expansion, even in the critical matching region. Indeed, we obtain analytical results nearly indistinguishable from the numerical solutions of the original problem in a large part of the whole relevant time window, even in the case in which the kinetic constants produce an expansion parameter value as large as ɛ=0.5.
- Subjects :
- Genetics and Molecular Biology (all)
0301 basic medicine
Statistics and Probability
Singular perturbation
Matching (graph theory)
Immunology and Microbiology (all)
Biochemical Phenomena
Differential equation
Value (computer science)
Kinetic energy
Biochemistry
Models, Biological
01 natural sciences
Michaelis–Menten kinetics
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Enzyme kinetics
Perturbation expansion
Renormalization group approach
Modeling and Simulation
Biochemistry, Genetics and Molecular Biology (all)
Agricultural and Biological Sciences (all)
Applied Mathematics
0103 physical sciences
Order (group theory)
Applied mathematics
Mathematics
010304 chemical physics
General Immunology and Microbiology
General Medicine
Renormalization group
Enzymes
Kinetics
030104 developmental biology
General Agricultural and Biological Sciences
Subjects
Details
- ISSN :
- 00255564
- Volume :
- 299
- Database :
- OpenAIRE
- Journal :
- Mathematical Biosciences
- Accession number :
- edsair.doi.dedup.....92a1304898ec7060b366850a3675381b