A statistical treatment for solution of a family of simultaneous equations derived from enzyme inhibition studies

1. A technique of simultaneous regression of a family of lines with any common intercept is described for the treatment of enzyme inhibition data. The method is iterative and is based on minimization of a weighted sum of squares of all residues. 2. The weighting procedure may be varied according to experimental design; the simultaneous regression treatment provides the crossing point of all lines, linear and angular coefficients, as well as estimates of the precision of fitted parameters. 3. There are no restrictions as to location of crossing points. The method can be applied to all known transformed functions, properly weighted, used in enzyme studies that result in straight lines. It is rather simple to use by non-kineticists and would be useful in preliminary diagnosis of inhibition types, prior to the application of nonlinear techniques which require knowledge of the model.