<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/2391" mdate="2009-10-23 00:00:00"> <author>Omar GACI and Stefan BALEV and Antoine DUTOT</author> <title>Detecting Community Structure in Amino Acid Interaction Networks</title> <pages>2387 - 2394</pages> <year>2009</year> <volume>3</volume> <number>10</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/2391.pdf</ee> <url>https://publications.waset.org/vol/34</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. Using a graph theory approach, we observe that according to their structural roles, the nodes interact differently. By leading a community structure detection, we confirm this specific behavior and describe thecommunities composition to finally propose a new approach to fold a protein interaction network. </abstract> <index>Open Science Index 34, 2009</index> </article>