Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters
نویسندگان
چکیده
منابع مشابه
The '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 ...
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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...
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where K and V are some unknowns. For example, in study of chemical reactions, equation (1.1) is known as the Michaelis–Menten equation which describes the theoretical interrelation between the speed of reaction v(s) and the amount of reagent s. In this case the parameter V has the meaning of a maximally possible speed of reaction and the parameter K is the value of s for which the speed of reac...
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In a conformational nonequilibrium steady state (cNESS), enzyme turnover is modulated by the underlying conformational dynamics. On the basis of a discrete kinetic network model, we use an integrated probability flux balance method to derive the cNESS turnover rate for a conformation-modulated enzymatic reaction. The traditional Michaelis-Menten (MM) rate equation is extended to a generalized f...
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• This paper studies the Michaelis–Menten model (MM), which plays an important role in pharmacokinetics, from a theoretical as well as a computational point of view. An analytical method for the nonlinear least squares estimation of the MM is introduced. It is proved that the MM model has not a unique parameter estimation (through the nonlinear least squares), and there is not a unique optimal ...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2017
ISSN: 2045-2322
DOI: 10.1038/s41598-017-17072-z