Publication:
Characterization and prediction of protein interfaces to infer protein-protein interaction networks

dc.contributor.coauthorN/A
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.kuauthorTunçbağ, Nurcan
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Chemical and Biological Engineering
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid26605
dc.contributor.yokid245513
dc.contributor.yokid8745
dc.date.accessioned2024-11-09T23:57:29Z
dc.date.issued2008
dc.description.abstractComplex protein-protein interaction networks govern biological processes in cells. Protein interfaces are the sites where proteins physically interact. Identification and characterization of protein interfaces will lead to understanding how proteins interact with each other and how they are involved in protein-protein interaction networks. What makes a given interface bind to different proteins; how similar/different the interactions in proteins are some key questions to be answered. Enormous amount of protein structures and experimental protein-protein interactions data necessitate advanced computational methods for analyzing and inferring new knowledge. Interface prediction methods use a wide range of sequence, structural and physico-chemical characteristics that distinguish interface residues from non-interface surface residues. Here, we present a review focusing on the characteristics of interfaces and the current status of interface prediction methods.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue2
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.volume9
dc.identifier.doi10.2174/138920108783955191
dc.identifier.eissn1873-4316
dc.identifier.issn1389-2010
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-41949125119
dc.identifier.urihttp://dx.doi.org/10.2174/138920108783955191
dc.identifier.urihttps://hdl.handle.net/20.500.14288/15298
dc.identifier.wos256617800003
dc.keywordsStructurally conserved residues
dc.keywordsHot-spots
dc.keywordsInteraction sites
dc.keywordsBinding-sites
dc.keywordsStatistical-analysis
dc.keywordsRecognition sites
dc.keywordsSaccharomyces-cerevisiae
dc.keywordsSystems biology
dc.keywordsPatch analysis
dc.keywordsIn-silico
dc.languageEnglish
dc.publisherBentham Science Publ Ltd
dc.sourceCurrent Pharmaceutical Biotechnology
dc.subjectBiochemistry
dc.subjectMolecular biology
dc.subjectPharmacology
dc.subjectPharmacy
dc.titleCharacterization and prediction of protein interfaces to infer protein-protein interaction networks
dc.typeReview
dspace.entity.typePublication
local.contributor.authorid0000-0002-4202-4049
local.contributor.authorid0000-0002-0389-9459
local.contributor.authorid0000-0002-2297-2113
local.contributor.kuauthorKeskin, Özlem
local.contributor.kuauthorTunçbağ, Nurcan
local.contributor.kuauthorGürsoy, Attila
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relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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