Evolutionary aspect of protein sequence network based on the 2D representation of amino acids

Abstract

For the comparative analysis of proteins, their proper clustering, and evolutionary relationships require analysis of their sequences. We used a mathematical parameter termed a similar factor to create a similar degree matrix of ND6 protein sequences taken from eight different species in this paper. We built a network out of the matrix to analyze their evolutionary and similarity trends with each other. By observing the various centrality measures, the correlation between multiple centrality measures and different network parameter shows that our network is consistent with the known evolution fact of ND6 protein sequences.

Keywords

• amino acids
• similar factor
• similar degree matrix
• characteristic vector
• centrality measures
• clustering coefficient