Statistical estimations in enzyme kinetics

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Abstract
An account is given of the weighted and nonlinear regression methods relevant to enzyme kinetic studies, with a brief preliminary outline of statistical terminology and the basic calculus of random variation. Statistical considerations indicate that, for graphical determinations of the parameters Km and V in the Michaelis-Menten equation, the linear plot of s/v against s is preferable to the double reciprocal plot. A computational procedure is given for estimating Km, V and the relevant standard errors. The application of regression methods is further illustrated with the estimation of dissociation constants from a series of Km determinations.