A Statistical SimilarityDissimilarity Analysis of Protein Sequences Based on a Novel Group Representative Vector

الملخص EN

Similarity/dissimilarity analysis is a key way of understanding the biology of an organism by knowing the origin of the new genes/sequences.

Sequence data are grouped in terms of biological relationships.

The number of sequences related to any group is susceptible to be increased every day.

All the present alignment-free methods approve the utility of their approaches by producing a similarity/dissimilarity matrix.

Although this matrix is clear, it measures the degree of similarity among sequences individually.

In our work, a representative of each of three groups of protein sequences is introduced.

A similarity/dissimilarity vector is evaluated instead of the ordinary similarity/dissimilarity matrix based on the group representative.

The approach is applied on three selected groups of protein sequences: beta globin, NADH dehydrogenase subunit 5 (ND5), and spike protein sequences.

A cross-grouping comparison is produced to ensure the singularity of each group.

A qualitative comparison between our approach, previous articles, and the phylogenetic tree of these protein sequences proved the utility of our approach.