A NEW APPROACH TO ANALYZE THE SIMILARITY OF BIOLOGICAL SEQUENCES AND CLASSIFICATION THEM BY FUZZY CLUSTERING

In this paper, we propose a new method to analyze the differences and similarities of biological sequences. The main idea of this method is derived from the descriptors that use the protein second structure. From the results of applications, it is found that the method is relatively easy, rapid and has short extract vector. We are also able to compare the sequences with arbitrary lengths in this method while this is impossible in some methods and sequences there should be of a same length. Also, our method deals with the amino acids order and frequency, however, other ones just focus on the frequency of amino acids. Finally, we classify them in order to predict the protein structure.