Analysis of Unweighted Amino Acids Network
Author(s) -
Adil Akhtar,
Tazid Ali
Publication year - 2014
Publication title -
international scholarly research notices
Language(s) - English
Resource type - Journals
ISSN - 2356-7872
DOI - 10.1155/2014/350276
Subject(s) - centrality , clustering coefficient , skewness , cluster analysis , amino acid , computer science , measure (data warehouse) , ranking (information retrieval) , network analysis , graph , network theory , mathematics , data mining , statistics , theoretical computer science , biology , genetics , artificial intelligence , physics , quantum mechanics
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.
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