Table of Contents
International Scholarly Research Notices
Volume 2014, Article ID 350276, 6 pages
http://dx.doi.org/10.1155/2014/350276
Research Article

Analysis of Unweighted Amino Acids Network

Department of Mathematics, Dibrugarh University, Dibrugarh, Assam 786004, India

Received 29 August 2014; Revised 26 November 2014; Accepted 27 November 2014; Published 16 December 2014

Academic Editor: Giovanni Colonna

Copyright © 2014 Adil Akhtar and Tazid Ali. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The analysis of amino acids network is very important to studying the various physicochemical properties of amino acids. In this paper we consider the amino acid network based on mutation of the codons. To analyze the relative importance of the amino acids we have discussed different measures of centrality. The measure of centrality is a powerful tool of graph theory for ranking the vertices and analysis of biological network. We have also investigated the correlation coefficients between various measures of centrality. Also we have discussed clustering coefficient as well as average clustering coefficient of the network. Finally we have discussed the degree of distribution as well as skewness.