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Enzyme kinetics relationship

The Relationship Between Enzyme Kinetics and Apparent Activation Free Energy... [Pg.138]

Aiming to construct explicit dynamic models, Eqs. (5) and (6) provide the basic relationships of all metabolic modeling. All current efforts to construct large-scale kinetic models are based on an specification of the elements of Eq (5), usually involving several rounds of iterative refinement For a schematic workflow, see again Fig. 4. In the following sections, we provide a brief summary of the properties of the stoichiometric matrix (Section III.B) and discuss the most common functional form of enzyme-kinetic rate equations (Section III.C). A selection of explicit kinetic models is provided in Table I. TABLE I Selected Examples of Explicit Kinetic Models of Metabolisin 1 ... [Pg.123]

The relationship between substrate concentration ([S]) and reaction velocity (v, equivalent to the degree of binding of substrate to the active site) is, in the absence of cooperativity, usually hyperbolic in nature, with binding behavior complying with the law of mass action. However, the equation describing the hyperbolic relationship between v and [S] can be simple or complex, depending on the enzyme, the identity of the substrate, and the reaction conditions. Quantitative analyses of these v versus [S] relationships are referred to as enzyme kinetics. [Pg.97]

A detailed account of the relationship between redox potentials and enzyme kinetic parameters is given by Ikeda and Kano [44]. For example, for a mediated substrate oxidation reaction, the rate Vg of the enzyme-catalyzed reaction can be measured and the kinetic parameters determined from ... [Pg.49]

Figure 17.16 Relationships of biodegradation rate, v, to substrate concentration, [/], when Michaelis-Menten enzyme kinetics is appropriate (a) when plotted as hyperbolic relationship (Eq. 17-79 in text), or (b) when plotted as inverse equation, Vv =... Figure 17.16 Relationships of biodegradation rate, v, to substrate concentration, [/], when Michaelis-Menten enzyme kinetics is appropriate (a) when plotted as hyperbolic relationship (Eq. 17-79 in text), or (b) when plotted as inverse equation, Vv =...
Allosteric enzymes show relationships between V0 and [S] that differ from Michaelis-Menten kinetics. They do exhibit saturation with the substrate when [S] is sufficiently high, but for some allosteric enzymes, plots of V0 versus [S] (Fig. 6-29) produce a sigmoid saturation curve, rather than the hyperbolic curve typical of non-regulatory enzymes. On the sigmoid saturation curve we can find a value of [S] at which V0 is half-maximal, but we cannot refer to it with the designation Km, because the enzyme does not follow the hyperbolic Michaelis-Menten relationship. Instead, the symbol [S]0 e or K0,5 is often used to represent the substrate concentration giving half-maximal velocity of the reaction catalyzed by an allosteric enzyme (Fig. 6-29). [Pg.227]

It is found experimentally in most cases that v is directly proportional to the concentration of enzyme, [E]0. However, v generally follows saturation kinetics with respect to the concentration of substrate, [S], in the following way (Figure 3.1). At sufficiently low [S], v increases linearly with [S]. But as [S] is increased, this relationship begins to break down and v increases less rapidly than [S] until, at sufficiently high or saturating [S], v tends toward a limiting value termed Vmax. This is expressed quantitatively in the Michaelis-Menten equation, the basic equation of enzyme kinetics ... [Pg.63]

The results from Basic Protocol 1 are expected to be consistent with traditional initial velocity assumptions for enzyme kinetics (unit cl /). The assay, as presented, includes four time points (along with a zero-time value) in order to establish the relationship between reaction time and product formed. Representative data, demonstrating the hyperbolic nature of this relationship, are presented in Figure C1.2.3. In this case, only the initial time points at the lowest enzyme concentration are consistent with the linear initial velocity assumption. If... [Pg.345]

This ratio is of fundamental importance in the relationship between enzyme kinetics and catalysis. In the analysis of the Michaelis-Menten rate law (equation 5.8), the ratio cat/Km is an apparent second-order rate constant and, at low substrate concentrations, only a small fraction of the total enzyme is bound to the substrate and the rate of reaction is proportional to the free enzyme concentration ... [Pg.286]

Allosteric enzymes do not follow the Michaelis-Menten kinetic relationships between substrate concentration Fmax and Km because their kinetic behaviour is greatly altered by variations in the concentration of the allosteric modulator. Generally, homotrophic enzymes show sigmoidal behaviour with reference to the substrate concentration, rather than the rectangular hyperbolae shown in classical Michaelis-Menten kinetics. Thus, to increase the rate of reaction from 10 per cent to 90 per cent of maximum requires an 81-fold increase in substrate concentration, as shown in Fig. 5.34a. Positive cooperativity is the term used to describe the substrate concentration-activity curve which is sigmoidal an increase in the rate from 10 to 90 per cent requires only a nine-fold increase in substrate concentration (Fig. 5.346). Negative cooperativity is used to describe the flattening of the plot (Fig. 5.34c) and requires requires over 6000-fold increase to increase the rate from 10 to 90 per cent of maximum rate. [Pg.330]

The graphical significance of the constants in the Monod equation are identical to the corresponding constants in the Michaelis-Menten relationship for enzyme kinetics (see Section 5.4.4). The specific growth rate initially increases with increas-... [Pg.345]

The previous section illustrated how allosteric cooperativity can result in a sigmoidal relationship between binding saturation and substrate concentration. In this section, we demonstrate how a sigmoidal relationship between product concentration and time can arise from enzyme kinetics with time lags. [Pg.84]

Schuster, R. and Schuster, S. (1991) Relationships between modal-analysis and rapid-equilibrium approximation in the modeling of biochemical networks. Syst. Anal. Model. Simul. 8, 623-633. Segel, I.H. (1993) Enzyme kinetics Behavior andAnalysis of Rapid Equilibrium and Steady-state Enzyme Systems. (New York John Wiley Sons, Inc.). [Pg.261]

The earliest quantitative theory of enzyme kinetics dates back to 1913, when Michaelis and Menten [27] succeeded in explaining a key feature of enzyme reactions with a very simple model. As an introduction and to establish the relationship between trace-level and bulk-species catalysis, this classical work and its subsequent refinements will now be reviewed. [Pg.206]

Enzyme kinetics are based on the assumption that the rate of the catalyzed reaction is directly proportional to the concentration of the enzyme, that is, v = k[E], where o is the initial velocity, k is the rate constant, and [E] is the concentration of the enzyme this relationship holds for most systems in which there is a purified enzyme and an adequate concentration of the substrate. [Pg.288]

Figure 2 The dependence on substrate concentration for permeability of a carrier-mediated substrate demonstrating saturable enzyme kinetics. The relationship is described mathematically in Eq. (5). Figure 2 The dependence on substrate concentration for permeability of a carrier-mediated substrate demonstrating saturable enzyme kinetics. The relationship is described mathematically in Eq. (5).
The predictability of this in vitro model was evaluated by the determination of the intrinsic clearances of 64 compounds and comparing the values to the in vivo clearance [38], which indicated a good relationship between the in vivo and in vitro results. Some fundamental assumptions need to be kept in mind when using this model (1) in vitro enzyme kinetics are applicable to in vivo kinetic properties, (2) intrinsic clearance follows first-order kinetics, and (3) liver is the major organ responsible for the clearance of test compounds. [Pg.108]

Because identification of a saturable process occurs only for low extraction ratio compounds (i.e., CL, etaboiism = /uCLint), the relationship between classical enzyme kinetics and pharmacokinetics is revealed ... [Pg.638]

Once the appropriate conditions have been found to isolate chemistry, isotopi-cally labeled substrates can then be used to probe further for nuclear tunneling during the chemical step on the enzyme. There are three limiting kinetic relationships that affect which types of isotope effects can be used to study enzyme chemistry. The first case is when kcat is fully limited by chemistry, the second is when kcst/Ku is limited by chemistry, and the third arises when multiple steps are partially rate limiting. It should be noted that circumstances may also arise where both kcat and k st/Ku reflect the chemical step. [Pg.1244]

There are reciprocal relationships between the parameters summarized above. On the one hand enzyme stability measurements strongly depend on the concentrations of substrates, coenzymes, buffers etc. in the assay. On the other hand the choice of an appropriate concentration level is a consequence of the enzyme kinetics investigated afterwards. A compromise has to be found between different optimization criteria e. g. a lower temperature leads to a reduced enzyme activity but results in a higher enzyme stability. In the example of the oxynitrilase reaction (Eq. (12)) a low pH value is a prerequisite for high enantiomeric purity of the product but lowers enzyme activity. As a consequence, only a rough optimization can be carried out at this level. [Pg.189]


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See also in sourсe #XX -- [ Pg.134 , Pg.135 ]




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