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On the anti-quasi-steady-state conditions of enzyme kinetics
- Source :
- Mathematical Biosciences. 350:108870
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Quasi-steady state reductions for the irreversible Michaelis--Menten reaction mechanism are of interest both from a theoretical and an experimental design perspective. A number of publications have been devoted to extending the parameter range where reduction is possible, via improved sufficient conditions. In the present note, we complement these results by exhibiting local conditions that preclude quasi-steady-state reductions (anti-quasi-steady-state), in the classical as well as in a broader sense. To this end, one needs to obtain necessary (as opposed to sufficient) conditions and determine parameter regions where these do not hold. In particular, we explicitly describe parameter regions where no quasi-steady-state reduction (in any sense) is applicable (anti-quasi-steady-state conditions), and we also show that -- in a well defined sense -- these parameter regions are small. From another perspective, we obtain local conditions for the accuracy of standard or total quasi-steady-state. Perhaps surprisingly, our conditions do not involve initial substrate.<br />19 pages, 7 figures
- Subjects :
- Chemical Physics (physics.chem-ph)
Statistics and Probability
General Immunology and Microbiology
Physics
Applied Mathematics
92C45, 34C20, 34E15
FOS: Physical sciences
Dynamical Systems (math.DS)
General Medicine
Quantitative Biology - Quantitative Methods
General Biochemistry, Genetics and Molecular Biology
Enzymes
Kinetics
FOS: Biological sciences
Physics - Chemical Physics
Modeling and Simulation
FOS: Mathematics
Mathematics - Dynamical Systems
General Agricultural and Biological Sciences
Quantitative Methods (q-bio.QM)
Subjects
Details
- ISSN :
- 00255564
- Volume :
- 350
- Database :
- OpenAIRE
- Journal :
- Mathematical Biosciences
- Accession number :
- edsair.doi.dedup.....d1db1d5679562fda8c82d825b9741da4
- Full Text :
- https://doi.org/10.1016/j.mbs.2022.108870