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Hanes plot analysis

Equation 7.3.31 gives rise to what is known as an Eadie or Hofstee plot, while equation 7.3.32 gives rise to a Hanes plot. The Eadie plot has the advantage of spreading the points out more evenly and of determining K and J ax separately. The three types of plots are shown schematically in Figure 7.4. The Lineweaver-Burk and Eadie plots are the ones used most frequently in data analysis. [Pg.229]

Similarly, the Hanes analysis yields slope 1 / vm and intercept Kl vm, from which you again compute Kand vm, and the corresponding standard deviations. Note that the roles of slope and intercept are interchanged in the Iineweaver-Burk and Hanes plots. Compare the results of the two approaches. [Pg.104]

Fig. 3.5 Spreadsheet for the analysis of the data on the kinetics of nicotinamide mononucleotide adenyl transferase by Atkinson etal, Biochem.J. 80 (1961) 318. The results should be read as, e.g., on line 30 K = 0.4406 0.0906 for the unweighted Lineweaver-Burk method, K = 0.5821 0.0522 for the unweighted Hanes plot, or, on line31, vm = 0.5853 0.1039 for Lineweaver-Burk, vm= 0.6848 0.0383 forHanes. Fig. 3.5 Spreadsheet for the analysis of the data on the kinetics of nicotinamide mononucleotide adenyl transferase by Atkinson etal, Biochem.J. 80 (1961) 318. The results should be read as, e.g., on line 30 K = 0.4406 0.0906 for the unweighted Lineweaver-Burk method, K = 0.5821 0.0522 for the unweighted Hanes plot, or, on line31, vm = 0.5853 0.1039 for Lineweaver-Burk, vm= 0.6848 0.0383 forHanes.
Hanes plot, and 1/ fin the Lineweaver-Burk plot, and they did not give the same results. The weighting converted both to use v as the dependent variable, and then they agreed, of course, and we obtain the same result with the non-linear least-squares fit to (3.5-1). But when we use S as our dependent variable, we get a different result with the non-linear least squares, because we again compare apples and pears. And, of course, when we use non-linear least squares on (3.5-2) we get the same result as with the linear least-squares analysis of the Lineweaver-Burk plot, and non-linear least-squares of (3.5-2) would yield the same answers as linear least squares based on a Hanes plot. [Pg.117]

In the graphical analysis of initial rate data, it is pradent to use all three plots shown in Figs. 3 and 4. The direct plot of versus [A] wiU show directly the influence of substrate concentration on initial rate of reaction. The two linear plots should be used together, because the Lineweaver-Burk plot serves to visualize the influence of low concentrations whereas the Hanes plot serves to visualize the influence of high concentrations of substrates. The third plot, the Eadie-Hofstee plot, is useful in detecting exceptionally bad measurements (Section 3.11). [Pg.403]

Enzyme-catalyzed reactions are sometimes analyzed by use of the Hanes plot, in which [S]o/f is plotted against [S] . (a) Using the simple Michaehs-Menten mechanism, derive a relation between [S]o/f and [S]q. (b) Discuss how the values of Km and are obtained from analysis of the Hanes plot, (c) Determine the Michaehs constant and the maximum velocity of the reaction from Exercise 8.14 by using a Hanes plot to analyze the data. [Pg.306]

An analysis of the influence of errors shows clearly that the double-reciprocal plot according to Lineweaver-Burk [32] is the least suitable. Although it is by far the most widely used plot in enzyme kinetics, it cannot be recommended, because it gives a grossly misleading impression of the experimental error for small values of v small errors in v lead to enormous errors in 1/y but for large values of v the same small errors in v lead to barely noticeable errors in 1/17 [23]. Due to the error distribution, that is much more uniform, the plot according to Hanes (Eq. (7)), is the most favored. [Pg.262]

Analysis This example demonstrated how to evaluate the parameters V m and Ky in the Michaelis-Menten rate law from enzymatic reaction data. Two techniques were used a Lineweaver-Burk plot and non-linear regression. It ras also shown how (he analysis could be carried out using Hanes-Woolf and Eadie-Hofstee plots. [Pg.361]


See other pages where Hanes plot analysis is mentioned: [Pg.47]    [Pg.401]   
See also in sourсe #XX -- [ Pg.101 , Pg.400 ]




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