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In the present work, we review the fundamental methods which have beendeveloped in the last few years for classifying into families and clans thedistribution of amino acids in protein databases. This is done throughfunctions of random variables, the Entropy Measures of probabilities ofoccurrence of the amino acids. An intensive study of the Pfam databases ispresented with restrictions to families which could be represented byrectangular arrays of amino acids with m rows (protein domains) and n columns(amino acids). This work is also an invitation to scientific research groupsworldwide to undertake the statistical analysis with different numbers of rowsand columns since we believe in the mathematical characterization of thedistribution of amino acids as a fundamental insight on the determination ofprotein structure and evolution.

The Protein Family Classification in Protein Databases via Entropy Measures