Pattern recognition of continuity of discrete data points by scale changed plots

Graphs composed of a large number of data points plotted on an appropriate scale enables us to pattern recognize a specific continuous curve. This principle was used to follow signals from proton nuclear magnetic resonance as a function of pH in a large biomolecule, staphylococcal nuclease. The analysis was automated by auto peak-picking routines and by transferring the results to a graphic program, Graphic Operating System (Roome & Peterson, 1985). Expansion and contraction of the scale made it possible to differentiate specific tyrosine and histidine titration curves. This type of analysis is applicable for assignment of specific curves from a large number of data points which change as a function of perturbations.