Hubs identification in amino acids interaction networks
In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the gener...
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| creator | Gaci, O. Balev, S. |
| description | In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the general scale-free network model and we analyze the existence of nodes with a high interaction level. |
| doi_str_mv | 10.1109/AICCSA.2009.5069310 |
| format | Conference Proceeding |
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This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the general scale-free network model and we analyze the existence of nodes with a high interaction level.</description><identifier>ISSN: 2161-5322</identifier><identifier>ISBN: 9781424438075</identifier><identifier>ISBN: 1424438071</identifier><identifier>EISSN: 2161-5330</identifier><identifier>EISBN: 1424438063</identifier><identifier>EISBN: 9781424438068</identifier><identifier>DOI: 10.1109/AICCSA.2009.5069310</identifier><identifier>LCCN: 2009900282</identifier><language>eng</language><publisher>IEEE</publisher><subject>Amino acids ; Biochemistry ; Bioinformatics ; Genomics ; Graph theory ; Hydrogen ; Molecular biophysics ; Organisms ; Proteins ; Sequences</subject><ispartof>2009 IEEE/ACS International Conference on Computer Systems and Applications, 2009, p.96-102</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5069310$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5069310$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gaci, O.</creatorcontrib><creatorcontrib>Balev, S.</creatorcontrib><title>Hubs identification in amino acids interaction networks</title><title>2009 IEEE/ACS International Conference on Computer Systems and Applications</title><addtitle>AICCSA</addtitle><description>In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the general scale-free network model and we analyze the existence of nodes with a high interaction level.</description><subject>Amino acids</subject><subject>Biochemistry</subject><subject>Bioinformatics</subject><subject>Genomics</subject><subject>Graph theory</subject><subject>Hydrogen</subject><subject>Molecular biophysics</subject><subject>Organisms</subject><subject>Proteins</subject><subject>Sequences</subject><issn>2161-5322</issn><issn>2161-5330</issn><isbn>9781424438075</isbn><isbn>1424438071</isbn><isbn>1424438063</isbn><isbn>9781424438068</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo90MtOwzAUBFDzqERb8gXd5AcSru91_FhGEbSVKrEA1pXj2JKBOigJQvw9BQqzmcWRZjGMrTiUnIO5qbdN81CXCGDKCqQhDmdswQUKQRoknbM5csmLigguWGaU_jNVXf4b4owtvjcMAGq8Ytk4PsMxokJNYs7U5r0d89j5NMUQnZ1in_KYcnuIqc-ti91R0-QH634o-emjH17GazYL9nX02amX7Onu9rHZFLv79bapd0VEhKlwwJ1Hba1A7LiRHQYljdQUdIuOSGqtrVDognDOGxS8U74NipSDAJxoyVa_u9F7v38b4sEOn_vTIfQF3a5NTg</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Gaci, O.</creator><creator>Balev, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20090101</creationdate><title>Hubs identification in amino acids interaction networks</title><author>Gaci, O. ; Balev, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i220t-c01ce28aa422d196d2f769683f8b2c336888a472cf4cce9241d7ebf737c0f0133</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Amino acids</topic><topic>Biochemistry</topic><topic>Bioinformatics</topic><topic>Genomics</topic><topic>Graph theory</topic><topic>Hydrogen</topic><topic>Molecular biophysics</topic><topic>Organisms</topic><topic>Proteins</topic><topic>Sequences</topic><toplevel>online_resources</toplevel><creatorcontrib>Gaci, O.</creatorcontrib><creatorcontrib>Balev, S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gaci, O.</au><au>Balev, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Hubs identification in amino acids interaction networks</atitle><btitle>2009 IEEE/ACS International Conference on Computer Systems and Applications</btitle><stitle>AICCSA</stitle><date>2009-01-01</date><risdate>2009</risdate><spage>96</spage><epage>102</epage><pages>96-102</pages><issn>2161-5322</issn><eissn>2161-5330</eissn><isbn>9781424438075</isbn><isbn>1424438071</isbn><eisbn>1424438063</eisbn><eisbn>9781424438068</eisbn><abstract>In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the general scale-free network model and we analyze the existence of nodes with a high interaction level.</abstract><pub>IEEE</pub><doi>10.1109/AICCSA.2009.5069310</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Amino acids Biochemistry Bioinformatics Genomics Graph theory Hydrogen Molecular biophysics Organisms Proteins Sequences |
| title | Hubs identification in amino acids interaction networks |
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