A sequence-segmented method applied to the similarity analysis of proteins

Abstract

A 2-D graphical representation of protein sequences based on two classifications of amino acids is outlined. The method of dividing a long sequence into k segments (SSM) is introduced, so protein graph is divided into k segments, geometrical center of the points for all protein curve segment is given as descriptors of protein sequences. It is not only useful for comparative study of proteins, but also for encoding innate information about the structure of proteins. Finally, a simple example is taken to highlight the behavior of the new descriptor on protein sequences taken from the 12 baculoviruse proteins.