Computational methods Michaelis Menten kinetics

Although computer software is now readily available to fit enzyme kinetic data to the Michaelis-Menten and related equations, it can be instructive to use simple graphical methods in some cases. The most convenient of these (though not necessarily the most accurate) are based on doublereciprocal methods that convert the hyperbolic rate equations into much simpler linear forms for plotting. 

Before the advent of computer technology and computational methods, the linear transformations of the Michaelis-Menten equation were extensively used for the calculation of kinetic parameters (Allison Puiich, 1979) with the aid of a linear transformation of rectangular hyperbola, one can calculate with precision the asymptotes (Kmax and Kjd by linear regression (Fig. 5). The merits of various transformations were estimated with respect to the statistical bias inherent in most linear transformations of the Michaelis-Menten equation (Wilkinson, 1961 Johanson Lumry, 1961 Johanson Faunt, 1992 Straume Johnson, 1992 Ritchie Prvan, 1996). The detailed statistical treatment of initial rate data, however, is presented in Chapter 18. 

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