Michaelis-Menten kinetics, the operator-repressor system, and least squares approaches
| Autor: | K. P. Hadeler |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Linear function (calculus)
Applied Mathematics Operator (physics) General Medicine Function (mathematics) Least squares Enzymes Chemistry Kinetics Motion Computational Mathematics Nonlinear system Modeling and Simulation Non-linear least squares Linear Models Applied mathematics Least-Squares Analysis Total least squares General Agricultural and Biological Sciences Algorithms Mathematics Linear least squares |
| Zdroj: | Mathematical Biosciences and Engineering. 10:1541-1560 |
| ISSN: | 1551-0018 |
| DOI: | 10.3934/mbe.2013.10.1541 |
| Popis: | The Michaelis-Menten (MM) function is a fractional linear function depending on two positive parameters. These can be estimated by nonlinear or linear least squares methods. The non-linear methods, based directly on the defect of the MM function, can fail and not produce any minimizer. The linear methods always produce a unique minimizer which, however, may not be positive. Here we give sufficient conditions on the data such that the nonlinear problem has at least one positive minimizer and also conditions for the minimizer of the linear problem to be positive. We discuss in detail the models and equilibrium relations of a classical operator-repressor system, and we extend our approach to the MM problem with leakage and to reversible MM kinetics. The arrangement of the sufficient conditions exhibits the important role of data that have a concavity property (chemically feasible data). |
| Databáze: | OpenAIRE |
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