Conversely, a mechanism should be determined first without prejudice: the shapes of diagnostic plots are sufficient to assign a mechanism unequivocally. One of the equations may perform better than the others even if the winning model is wrong or incomplete and two or more parameters are intertwined to the point to invalidate their calculated values. by fitting a set of equations to raw data and selecting the best fitting model on the basis of its superior statistical tests with respect to the other models, may fail to identify the true mechanism. Performing data analysis without prior identification of the mechanism, i.e. Slow-onset inhibition mechanisms, characterized by progress curves consisting by one-two exponential phase(s) followed by a linear steady-state, are not yet treated in this website, but are considered in due detail, Chapter 8. The procedures described here refer to the analysis of initial velocities of reversible enzymatic reactions in the presence of modifiers, in which the product concentration increases linearly with time from the beginning on the steady-state scale.
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