Publication:
Analysis of hot region organization in hub proteins

dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.kuauthorÇukuroğlu, Engin
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.otherDepartment of Chemical and Biological Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokid8745
dc.contributor.yokid26605
dc.date.accessioned2024-11-09T22:50:40Z
dc.date.issued2010
dc.description.abstractProtein interaction maps constructed from binary interactions reveal that some proteins are highly connected to others (acting as hub proteins), whereas some others have a few interactions (at the edges of the map). This paper addresses hub proteins from a structural point: interfaces. It investigates how hot spots are organized in hub proteins (hot regions). We annotate interfaces as the ones between two date-hubs (DD), two party hubs (PP), and two non-hubs (NN). We investigate the physico-chemical properties of these three types of interfaces focusing on the accessible surface area distribution, hot region organization, and amino acid composition differences. Results reveal that there are significant differences between DD and PP interfaces. More of the hot spots are organized into the hot regions in DD interfaces compared to PP ones. A high fraction of the interfaces are covered by hot regions in DD interfaces. There are more distinct hot regions in DDs. Since the same (or overlapping) DD interfaces should be used repeatedly, different hot regions can be used to bind to different partners. Further, these hot region characteristics can be used to predict whether a given hub interface is involved in a DD or a PP interface type with 80% accuracy.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue6
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsorshipTUBITAK [109T343, 109E207] We thank Nurcan Tuncbag for providing Protein G complexes. This project has been supported by TUBITAK (Research Grant No 109T343 and 109E207).
dc.description.volume38
dc.identifier.doi10.1007/s10439-010-0048-9
dc.identifier.issn0090-6964
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-77954660612
dc.identifier.urihttp://dx.doi.org/10.1007/s10439-010-0048-9
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6709
dc.identifier.wos277710700012
dc.keywordsHot region
dc.keywordsHot spot
dc.keywordsHub interface
dc.keywordsProtein-protein interaction network
dc.keywordsDate hub protein
dc.keywordsParty hub protein
dc.keywordsProtein-protein interfaces interaction network
dc.keywordsSaccharomyces-cerevisiae
dc.keywordsConserved residues
dc.keywordsSimple dependence
dc.keywordsEvolution rate
dc.keywordsInterfaces
dc.keywordsNumber
dc.keywordsIdentification
dc.keywordsInteractome
dc.keywordsComplexes
dc.languageEnglish
dc.publisherSpringer
dc.sourceAnnals Of Biomedical Engineering
dc.subjectEngineering
dc.subjectBiomedical engineering
dc.titleAnalysis of hot region organization in hub proteins
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.authorid0000-0002-2297-2113
local.contributor.authorid0000-0002-4202-4049
local.contributor.kuauthorÇukuroğlu, Engin
local.contributor.kuauthorGürsoy, Attila
local.contributor.kuauthorKeskin, Özlem
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relation.isOrgUnitOfPublicationc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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