Analysis of amino acids network based on transition and transversion mutation of codons

Abstract

In this paper, we have developed a network of 20 amino acids based on a distance matrix of amino acids. This distance matrix is obtained by considering the transition and transversion mutation of codons. We have proposed that the evolutionary pattern of amino acids is reflected throughout this network. We have discussed different measures of centrality: degree centrality, closeness centrality, betweenness centrality and eigenvector centrality, concerning this network and investigated the comparative impact of the amino acids. We have also explored the correlation coefficients between the different centrality measures checking the assortativity of the network. Further, we have explored three network parameters: namely clustering coefficient, degree of distribution and skewness.

Keywords

• amino acids
• genetic code
• centrality measure
• correlation coefficient
• network parameter
• distance matrix