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Rational Polynomials

The rate equations for all completely reversible, nonequilibrium enzyme kinetic mechanisms, described in the preceding chapters, can be summarized by the following general expression  [Pg.191]

The general property of all above mechanisms is their adherence to the Michaelis-Menten kinetics. In the absence of products, the double reciprocal plots for aU bisubstrate mechanisms represent a family of straight lines with a common intersection point, if one substrate is varied while the other substrate is held at different fixed concentrations. Similarly, the double reciprocal plots for all trisubstrate mechanisms represent a family of straight lines with a common intersection point, if one substrate is varied while the second substrate is held at different fixed concentrations, and the third substrate is held at a fixed concentration. This, however, is tme only if each substrate adds just once if one of them adds twice in sequential fashion, the reciprocal plots will be parabolic. [Pg.191]

The rate equations for aU these types of reactions fall into a class of mathematical expressions called rational polynomials of the order 1 1, [Pg.191]

In addition to rate equations that are described by a 1 1 rational polynomial, there are rate equations in enzyme kinetics which may be described by higher polynomials, such as a 1 2 rational polynomial  [Pg.191]

The rate equations may also be of a higher order (Schulz, 1994). [Pg.191]


This can be demonstrated by replacing the Lindhard function by a rational polynomial, which has the correct low and high q behaviour, and is such that it passes through jXtf at q = 2kF. Such a rational polynomial, correct to third order in both q2 and l/q2 is given by the dashed curve in Fig. 6.3. It has the form (Pettifor and Ward (1984))... [Pg.157]

Fig. 6.17 The structural-energy differences of a model Cu-AI alloy as a function of the band filling N, using an average Ashcroft empty-core pseudopotential with / c = 1.18 au. The dashed curves correspond to the three-term analytic pair-potential approximation. The full curves correspond to the exact result that is obtained by correcting the difference between the Lindhard function and the rational polynomial approximation in Fig. 6.3 by a rapidly convergent summation over reciprocal space. (After Ward (1985).)... Fig. 6.17 The structural-energy differences of a model Cu-AI alloy as a function of the band filling N, using an average Ashcroft empty-core pseudopotential with / c = 1.18 au. The dashed curves correspond to the three-term analytic pair-potential approximation. The full curves correspond to the exact result that is obtained by correcting the difference between the Lindhard function and the rational polynomial approximation in Fig. 6.3 by a rapidly convergent summation over reciprocal space. (After Ward (1985).)...
In some cases rational polynomial fractions such as those appearing in Eq. (16.24) can be decomposed into a constant plus a sum of elementary fractions,... [Pg.702]

Here the coefficients a-e are the individual (empirical) reaction orders with respect to the species A-E, respectively. The overall reaction order would then be given by a + p + x + e, but this may not be a particularly significant quantity. Other possible (and indeed quite common) forms for the empirical rate law involve rational polynomial terms such as [>l] /(l + [C] ) in which case the concept of an overall order, or of an order with respect to C, is not appropriate. [Pg.451]

Because analogies other than physical annealing may be used to motivate the simulated annealing optimization [S] one m conjecture that the probability of accepting or rejecting a step in (f) could be determined from distributions other than Boltzman s. However, exploratory calculations carried out with normal and rational polynomial distributions (v th the required properties) showed that none were as effective as the Boltzman distribution. [Pg.6]

The standard Fade approximant is invariably introduced in the literature on this method as the rational polynomial P[(z )/Q (z ) from Eq. (2) in the same variable z as the original function G(z ) from Eq. (4). On the other hand, we can alternatively interpret (4) as the usual z-transform in variable z [1]. As such, subsequently using geometric progression (5)... [Pg.256]

RFO can also be used to control the size of the trust radius by minimizing the energy on a rational polynomial approximation to the PES... [Pg.206]

The CJM models both the normal and shear displacement along joints. The joint normal response in the CJM is non-linear elastic and is based on a rational polynomial fit to experimental data. For the CJM, joint normal behavior is characterized by... [Pg.126]

Siojan, f.. Golicnik, M., and Fournier, D, (2004). Rational polynomial equation as an unbiased approach for the kinetic studies of Dm.sophila melanogasier acetylcholinesterase reaction mechanism. Bhxiiim. Biophy.s. Acta 1703, 53-61. [Pg.186]

There has been significant speculation on the reason why nutrient-response curves appear to be described by rational polynomials. It has been... [Pg.228]

FIG. 1. Possible shapes of nutrient-response curves and the parameter constraints which allow these curves to be described by a 2 2 rational polynomial. [Pg.228]

It is not surprising that the nutrient-response relationship is described by a rational polynomial for the rate of most biological reactions are described by this type of equation. The dimensions of the parameters in the general equation for nutrient-response are... [Pg.231]

Thus, the numerator terms are amplitude factors and the denominator polynomial represents the total nutrient processed by the organism. This allows partitioning the nutrient processed into a number of grossly defined pools. The number of pools is determined by the number of the denominator terms. This is entirely analogous to the rational polynomial which describes the steady state rate of an enzyme-catalyzed reaction in which the denominator consists of the enzyme species and the numerator contains amplitude terms. [Pg.231]

Estimates of the parameters of the equation for the nutrient-response curve can be obtained by graphical analysis (Schulz, 1987) or by statistical analysis of the rational polynomial (Press et al, 1992). Figure 4 shows the response of rats in terms of accumulation of body nitrogen to three different sources of dietary protein (Phillips, 1981). The sources of dietary protein were casein, peanut protein, and wheat gluten. The parameters were estimated graphically, and these estimates were fine tuned by simulation... [Pg.231]

Even in the absence of product P, the rate equation is complex, a rational polynomial of the order 2 2 with respect to both substrates. The reciprocal plots are nonlinear, but the departure from linearity may be very difficult to detect if both routes to EAB are about equally favorable. [Pg.167]

Thence one obtains the generating function as a rational polynomial, here... [Pg.69]

The rational function optimization (RFO) method of controlling the step size involves minimizing a rational polynomial approximation of the surface ... [Pg.1139]

Rational polynomials or variations of such polynomials are frequently used to approximate implicit functions occurring in engineering problems. For example the probability function defined as ... [Pg.300]

These functions are available for use in subsequent computer code. The probability function will be used extensively in the next chapter. These coded functions use some form of rational polynomials for approximating the functions. In many cases the rational polynomials are combined with other functions such as the exp() function which is assumed to be a known function. [Pg.303]


See other pages where Rational Polynomials is mentioned: [Pg.30]    [Pg.157]    [Pg.224]    [Pg.256]    [Pg.256]    [Pg.257]    [Pg.259]    [Pg.260]    [Pg.73]    [Pg.228]    [Pg.230]    [Pg.231]    [Pg.236]    [Pg.191]    [Pg.191]    [Pg.193]    [Pg.196]    [Pg.338]    [Pg.338]    [Pg.397]    [Pg.142]    [Pg.294]    [Pg.294]    [Pg.297]    [Pg.298]    [Pg.299]    [Pg.302]   


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