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Mechanism Michaelis-Menten parameters

Enzyme inhibitors are species that cause a decrease in the activity of an enzyme. Inhibitors usually interact with the enzyme itself, forming enzyme-inhibitor (E I) complexes, but in a few cases, the inhibition mechanism involves reaction with one of the substrates. Inhibition is considered to be reversible if the enzyme recovers its activity when the inhibitor is removed, and irreversible if the inhibitor causes a permanent loss of activity. Reversible inhibition affects the specific activity and apparent Michaelis-Menten parameters for the enzyme, while irreversible inhibition (where the E I complex formation is irreversible) simply decreases the concentration of active enzyme present in the sample. A well-known example of irreversible inhibition is the effect of nerve gas on the enzyme cholinesterase. [Pg.33]

A one-compartment model with first-order absorption and elimination with a lag time adequately described the nelfinavir PK profile. Although the nelfinavir elimination is mainly metabolic, a model with a Michaelis-Menten elimination was not considered because (a) only one dose of nelfinavir was tested leading to a concentration range between peak and trough not large enough to estimate Michaelis-Menten parameters and (b) there were no signs of saturation of the elimination on the plots. No saturable mechanism has been reported in the literature for nelfinavir. [Pg.1123]

The simplest kinetic model applied to describe lipase catalyzed reactions is based on the classic Michaelis-Menten mechanism [10] (Table 3). To test this model Belafi-Bakd et al. [58] studied kinetics of lipase-catalyzed hydrolysis of tri-, di-, and mono-olein separately. All these reactions were found to obey the Michaelis-Menten model. The apparent parameters (K and V ) were determined for global hydrolysis. [Pg.570]

Enzyme mimics catalyze reactions by mechanisms which are demonstrably enzyme-like. The minimum requirement is that the reactions concerned should involve an initial binding interaction between the substrate and the catalyst. This gives rise to Michaelis-Menten kinetics reactivity is measured in terms of the familiar parameters kCat and Km and we use E to denote enzyme mimic as well as enzyme. ... [Pg.342]

The necessity of developing approximate kinetics is unclear. It is sometimes argued that uncertainties in precise enzyme mechanisms and kinetic parameters requires the use of approximate schemes. However, while kinetic parameters are indeed often unknown, the typical functional form of generic rate equations, namely a hyperbolic Michaelis Menten-type function, is widely accepted. Thus, rather than introducing ad hoc functions, approximate Michaelis Menten kinetics can be utilized an approach that is briefly elaborated below. [Pg.185]

The simple theory outlined above has to be modified to account for the pH dependence of the catalytic parameters in mechanisms more complicated than the basic Michaelis-Menten. [Pg.99]

In the oxidation of alkanethiols to disulfides with chloramine-T (CAT), in alkaline solution, the proposed reactive species are hypochlorous acid and TsNCl- anion. A correlation of reaction rate with Taft s dual substituent parameter equation yielded p = -5.28 and 5 = -2.0, indicating the rate-enhancing effect of electron-donating substituents.133 Michaelis-Menten-type kinetics have been observed in the oxidation of atenolol with CAT in alkaline solutions. TsNHCl is assumed to be reactive species. A mechanism has been suggested and the activation parameters for the rate-determining step were calculated.134 The Ru(III)-catalysed oxidation of diphenyl... [Pg.107]

Among the several ways of verifying or disproving such a reaction scheme (Chapter 9, Section 9.2), the derivation of a rate law linking a product formation rate or substrate consumption rate with pertinent concentrations of reactants, products, and auxiliary agents such as catalysts probably has the greatest utility, as conversion to product can be predicted. A proper rate law contains only observables, and no intermediates or other unobservable parameters. In enzyme catalysis, the first rate law was written in 1913 by Michaelis and Menten (the corresponding kinetics is therefore aptly named the Michaelis-Menten (MM) mechanism). [Pg.22]

When a saturable transporter is involved in the permeation process, the permeability is no longer a constant value but is dependent on the concentration of the substrate. In that case it is necessary to characterize the parameters of the carrier-mediated process, Km, the Michaelis-Menten constant related with the affinity by the substrate and Vmax, the maximal velocity of transport. If a passive diffusion process occurs simultaneously to the active transport pathway then it is necessary to evaluate the contribution of each transport mechanism. An example of how to characterize the parameters in two experimental systems and how to correlate them are described in the next section. [Pg.107]

Figure 3.4 Simulation of Michaelis-Menten enzyme mechanism kinetics in closed system. Solid lines correspond to solution of Equations (3.27) with parameter values k+ = 1000 M-1 sec-1, k = 1.0 sec-1, k+2 = 0.1 sec-1, k-2 = 10M-1sec-1, and = 0.1mM. The initial conditions are a(0) = 1 mM, b 0) = 0, and c(0) = 0. Dashed lines correspond to the solution obtained by Equations (3.32). Figure 3.4 Simulation of Michaelis-Menten enzyme mechanism kinetics in closed system. Solid lines correspond to solution of Equations (3.27) with parameter values k+ = 1000 M-1 sec-1, k = 1.0 sec-1, k+2 = 0.1 sec-1, k-2 = 10M-1sec-1, and = 0.1mM. The initial conditions are a(0) = 1 mM, b 0) = 0, and c(0) = 0. Dashed lines correspond to the solution obtained by Equations (3.32).
Figure 4.4 Plot of enzyme complex concentration as a function of time for the Michaelis-Menten mechanism of Equations (4.22). The concentration of ES predicted from a kinetic simulation of Equations (4.22) is plotted as a solid line. The parameter values used are k+ = 1000M-1 sec-1,k i = 1.0sec-1,k+2 = 0.1 sec-1, and E0 = 0.1 mM. The left plot illustrates the fast-time kinetics. The fast-time variable n(r) predicted by Equation (4.29) is plotted as a dashed line. Figure 4.4 Plot of enzyme complex concentration as a function of time for the Michaelis-Menten mechanism of Equations (4.22). The concentration of ES predicted from a kinetic simulation of Equations (4.22) is plotted as a solid line. The parameter values used are k+ = 1000M-1 sec-1,k i = 1.0sec-1,k+2 = 0.1 sec-1, and E0 = 0.1 mM. The left plot illustrates the fast-time kinetics. The fast-time variable n(r) predicted by Equation (4.29) is plotted as a dashed line.
Graphics-based Hiickel molecular orbital calculator of energies and orbitals of TT electrons. EnzymeKinetics for fitting Michaelis—Menten kinetics parameters. ESP (Experimental Section Processor) for organizing synthetic procedures in publication format. LabSystant for evaluating quantitative lab data. Diatomic Molecular Motion and Mechanics. PC-Mendeleev for studying periodic table. SynTree for creating database of reactions. TAPP (Thermodynamic and Physical Properties) database with physical and thermodynamic data on more than 10,000 compounds. PCs and Macintosh. [Pg.392]

Interestingly, a fully appropriate model was developed at the same time as the Langmuir model using a similar basic approach. This is the Michaelis-Menten equation which has proved to be so useful in the interpretation of enzyme kinetics and, thereby, understanding the mechanisms of enzyme reactions. Another advantage in using this model is the fact that a graphical presentation of the data is commonly used to obtain the reaction kinetic parameters. Some basic concepts and applications will be presented here but a more complete discussion can be found in a number of texts. ... [Pg.119]

The use of kinetics to characterize the behavior of integrated biochemical systems is a more recent and less developed practice. One of the more important issues in this integrative context is the selection of an appropriate formal representation. The most common approach is simply to adopt the Michaelis-Menten Formalism that has served so well for the elucidation of isolated reaction mechanisms. However, as the discussion above showed, there are difficulties in estimating the parameters of this formalism in general, and there is a combinatorial explosion in the amount of data required to characterize the rate law by kinetic means. Thus, even if the Michaelis-Menten Formalism were appropriate in principle, there... [Pg.138]

When the (one-substrate) Michaelis-Menten equation is applied at saturation of B the following apparent parameters are obtained for the sequential mechanism ... [Pg.45]

Experimental determination of kinetic parameters for inhibition mechanisms follows the same pattern as in simple Michaelis-Menten kinetics (section 3.2.2). Linearization methods are particularly useful to determine the mechanism of inhibition as a previous step to the quantification of the kinetic parameters. Experimental design consists now in a matrix in which initial rate data are gathered at different substrate and inhibitor concentrations (s and i respectively) as depicted in Table 3.3. Inhibitor is here considered in general terms as any substance exerting enzyme inhibition, be it a product of reaction, as previously considered, or catalytically inert. Of course inhibition by products and/or substrate is more technologically relevant, since catalytically inert inhibitors can be simply kept out from the reaction medium. [Pg.120]

Even though linearization methods are valuable tools for determining the mechanism of inhibition, once determined, kinetic parameters can better be evaluated by non-linear regression to the corresponding rate equations, as presented in section 3.2.2 for simple Michaelis-Menten kinetics. [Pg.124]


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See also in sourсe #XX -- [ Pg.71 , Pg.72 , Pg.73 ]




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