Statistical considerations in the estimation of enzyme kinetic parameters by the direct linear plot and other methods

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Abstract
The statistical implications of the direct linear plot for enzyme kinetic data, described in the preceding paper (Eisenthal & Cornish-Bowden, 1974), are discussed for the case of the Michaelis–Menten equation. The plot is shown to lead directly to non-parametric confidence limits for the kinetic parameters, V and Km, which depend on far less sweeping assumptions about the nature of experimental error than those implicit in the method of least squares. Median estimates of V and Km can also be defined, which are shown to be more robust than the least-squares estimates in a wide variety of experimental situations.