Erratum to: On the solution of the Michaelis-Menten equation
نویسندگان
چکیده
منابع مشابه
ESTIMATING THE PARAMETERS OF THE MICHAElIS - MENTEN EQUATION USING SAS
The Michaelis-Menten equation, a rectangular hyperbola with two ~arameters ~o b~ specified, . occurs prominently 1n enzyme k,netlcs." Often, ~n consulting situations we need to (i) obtain estlmates standard errors, and confidence intervals for the unknown parameters, which define this nonlinear model for one set of experimental conditions and (ii) compare the parameter estimates under different...
متن کاملThe 'double' Michaelis-Menten equation: estimation of parameters.
When the concentration dependence of an enzymic reaction or a transport process can be described by the sum of two Michaelis-Menten terms, reliable data that relate reaction rate and substrate concentration can be obtained even when as much as 70 per cent of substrate was consumed during the assay. Each data pair consists of the average reaction rate during an assay and the concentration where ...
متن کاملAccuracy of analytical-numerical solutions of the Michaelis-Menten equation
It is the aim of this paper to investigate a suitable approach to compute solutions of the powerful Michaelis-Menten enzyme reaction equation with less computational effort. We obtain analytical-numerical solutions using piecewise finite series by means of the differential transformation method, DTM. In addition, we compute a global analytical solution by a modal series expansion. The Michaelis...
متن کاملWhen does the Michaelis-Menten equation hold for fluctuating enzymes?
Enzymes are dynamic entities: both their conformation and catalytic activity fluctuate over time. When such fluctuations are relatively fast, it is not surprising that the classical Michaelis-Menten (MM) relationship between the steady-state enzymatic velocity and the substrate concentration still holds. However, recent single-molecule experiments have shown that this is the case even for an en...
متن کاملParameter estimation using a direct solution of the integrated Michaelis-Menten equation.
A novel method of estimating enzyme kinetic parameters is presented using the Lambert omega function coupled with nonlinear regression. Explicit expressions for the substrate and product concentrations in the integrated Michaelis-Menten equation were obtained using the omega function which simplified kinetic parameter estimation as root-solving and numerical integration of the Michaelis-Menten ...
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ژورنال
عنوان ژورنال: Journal of Pharmacokinetics and Biopharmaceutics
سال: 1982
ISSN: 0090-466X
DOI: 10.1007/bf01065176