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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="general-sciences" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1155</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"/><article-categories><subj-group subj-group-type="heading"><subject>General Sciences</subject></subj-group></article-categories><title-group><article-title>Identifying Structurally Similar/Dissimilar Proteins Through Graph Similarity&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Mageswari</surname><given-names>R.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Yaminipriya</surname><given-names>B.</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>6</day><month>06</month><year>2017</year></pub-date><volume>) </volume><issue> I</issue><fpage>116</fpage><lpage>119</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Proteins having similar three dimensional structures have similar functions. It is proposed to find the structurally similar proteins through graph similarity. Graph theoretical concepts are used to analyze protein similarity using contact maps. Protein graph is derived from its contact map. In this paper, clustering coefficient of nodes is used to find the structurally similar/dissimilar proteins. High positive correlation is observed between the clustering coefficient of similar proteins 2RM2 and 2RR1 and no correlation between dissimilar proteins 2RM2, 5JXl and 2RR1, 5JXL.&#13;
</p></abstract><kwd-group><kwd>Contact map</kwd><kwd> Carbon alpha</kwd><kwd> Clustering Coefficient</kwd></kwd-group></article-meta></front></article>
