The approach is useful also in cases when protein families are divided by evolution, functional or other criteria. All obtained results including profiles can be stored on a disk. As the result user can find the possible relations and predict the activities from meanings of independent variables. Obtained coefficients of canonical discriminant functions can be used in classification of proteins.
Alphabetical analysis is used in the first stage of finding an activity-modulating regions.
Let all protein family is divided into N group of proteins with similar activities. Then this number is divided to the common number of all possible pairs of proteins. The estimation of variability indexes is calculated based on parevise comparison of proteins from different groups. The intra group variability index is calculated by the same procedure but pairs of proteins are taken from the same one group. Result of calculation is equal to number one or zero.