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10.4 Inhibition and Activation in Enzyme Reactions 269

      10.3.2  Linearized Form of the Integrated  Michaelis-Menten  Equation
                           For a constant-volume BR, integration of the Michaelis-Menten  equation leads to a
                           form that can also be linearized. Thus, from equation 10.2-9,

                                                  rp  =  (-rs)   =  -%  =  VmaxCS             (10.3-3)
                                                                       Km  + cs
                           or

                                                     K  +c,
                                                     Ldcs       = -V,,,,,  dt
                                                        CS
                           or

                                                     hdcs  + dcs  = -V,,,,, dt                (10.34
                                                     CS
                           which, with the boundary condition  cs  = csO  at t = 0, integrates to


                                                                                              (100.3-6)
                                                Km  ln(cdcd  + (cs - d  =  - Laxt
                           Equation 10.3-6 may be written as


                                                                          t
                                                              1
                                                                  Vmx
                                                  Wdcd     =----                             (10.3-7)
                                                  cso - cs   Km    Km cso - cs
                           According to equation 10.3-7, In (csIcsO)I(csO  - cs)  is a linear function of tl(csO  - cs).
                           Km   and  Vmax  can be determined from equation 10.3-7 with values of cs  measured as a
                           function oft for a given csO.

      10.3.3 Nonlinear Treatment

                           A major limitation of the linearized forms of the Michaelis-Menten  equation is that
                           none provides accurate estimates of  both Km  and V,,,.  Furthermore, it is impossible
                           to obtain meaningful error estimates for the parameters, since linear regression is not
                           strictly appropriate. With the advent of more sophisticated computer tools, there is an
                           increasing trend toward using the integrated rate equation and nonlinear regression
                           analysis to estimate  Km  and V,,,. While this type of analysis is more complex than the
                           linear approaches, it has several benefits. First, accurate nonbiased estimates of  K,,,  and
                           V,,,  can be obtained. Second, nonlinear regression may allow the errors (or confidence
                           intervals) of the parameter estimates to be determined.
                             To determine  K,,, and V,,,,,, experimental data for cs  versus t are compared with val-
                                    predicted by numerical integration of equation 10.3-3; estimates of K,,, and
            0              Vmax are subsequently adjusted until the sum of the squared residuals is minimized.
                           ues of cs
                V
                           The E-Z Solve software may be used for this purpose. This method also applies to other
             “O-v
                           complex rate expressions, such as Langmuir-Hinshelwood rate laws (Chapter 8).
      10.4  INHIBITION AND ACTIVATION IN ENZYME REACTIONS
                           The simple  Michaelis-Menten  model does not deal with all aspects of enzyme-catalyzed
                           reactions. The model must be modified to treat the phenomena of inhibition and
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