Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Paar, M; Schrabmair, W; Mairold, M; Oettl, K; Reibnegger, G.
Global Regression Using the Explicit Solution of Michaelis-Menten Kinetics Employing Lambert's W Function: High Robustness of Parameter Estimates
CHEMISTRYSELECT. 2019; 4(6): 1903-1908.
Doi: 10.1002/slct.201803610
[OPEN ACCESS]
Web of Science
FullText
FullText_MUG
- Führende Autor*innen der Med Uni Graz
- Paar Margret
- Reibnegger Gilbert
- Co-Autor*innen der Med Uni Graz
- Mairold Martina
- Öttl Karl
- Schrabmair Walter
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- Michaelis and Menten devised their model for enzyme kinetics in 1913. Various linearization schemes such as the Lineweaver-Burk approximation have become popular. An explicit solution using the Lambert W function has been presented but remains widely unknown among bioscientists. By computer simulation, we studied the effects of two sources of measurement error on the estimates of the system parameters K-M and v(max) obtained by the explicit as well as by the implicit solutions as well as by popular approximations. Global regression using the explicit solution exhibits the highest robustness of parameter estimates against measurement error, compared with all other evaluation techniques. We conclude that global regression using the explicit solution of the Michaelis Menten equation provides superior resulting estimates for K-M and v(max), even in case of considerable experimental error.
- Find related publications in this database (Keywords)
- Computer simulation
- Explicit solution
- Lambert's W function
- Michaelis-Menten model
- Parameter estimation