Publication:
Non-redundant unique interface structures as templates for modeling protein interactions

dc.contributor.coauthorNussinov, Ruth
dc.contributor.department(TBD)
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorÇukuroğlu, Engin
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.other(TBD)
dc.contributor.researchcenterThe Center for Computational Biology and Bioinformatics (CCBB)
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid8745
dc.contributor.yokidN/A
dc.contributor.yokid26605
dc.date.accessioned2024-11-09T12:17:24Z
dc.date.issued2014
dc.description.abstractImprovements in experimental techniques increasingly provide structural data relating to protein-protein interactions. Classification of structural details of protein-protein interactions can provide valuable insights for modeling and abstracting design principles. Here, we aim to cluster protein-protein interactions by their interface structures, and to exploit these clusters to obtain and study shared and distinct protein binding sites. We find that there are 22604 unique interface structures in the PDB. These unique interfaces, which provide a rich resource of structural data of protein-protein interactions, can be used for template-based docking. We test the specificity of these non-redundant unique interface structures by finding protein pairs which have multiple binding sites. We suggest that residues with more than 40% relative accessible surface area should be considered as surface residues in template-based docking studies. This comprehensive study of protein interface structures can serve as a resource for the community. The dataset can be accessed at https://prism.ccbb.ku.edu.tr/piface.
dc.description.fulltextYES
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue1
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipNational Cancer Institute, National Institutes of Health
dc.description.sponsorshipNIH, National Cancer Institute, Center for Cancer Research
dc.description.versionPublisher version
dc.description.volume9
dc.formatpdf
dc.identifier.doi10.1371/journal.pone.0086738
dc.identifier.eissn1932-6203
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR00176
dc.identifier.issn1932-6203
dc.identifier.linkhttps://doi.org/10.1371/journal.pone.0086738
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-84900297215
dc.identifier.urihttps://hdl.handle.net/20.500.14288/1422
dc.identifier.wos330507300105
dc.keywordsHot-spots
dc.keywordsData-bank
dc.keywordsHomologous proteins
dc.keywordsBinding-energy
dc.keywordsClassification
dc.keywordsComplexes
dc.keywordsSequence
dc.keywordsDatabase
dc.keywordsMotifs
dc.keywordsSimilarities
dc.languageEnglish
dc.publisherPublic Library of Science
dc.relation.grantnoHHSN261200800001E
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/1205
dc.sourcePLOS One
dc.subjectMultidisciplinary sciences
dc.subjectScience and technology
dc.titleNon-redundant unique interface structures as templates for modeling protein interactions
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-2297-2113
local.contributor.authoridN/A
local.contributor.authorid0000-0002-4202-4049
local.contributor.kuauthorGürsoy, Attila
local.contributor.kuauthorÇukuroğlu, Engin
local.contributor.kuauthorKeskin, Özlem
relation.isOrgUnitOfPublication89dd45fa-deb6-4720-9d8c-dda2ce24aa4c
relation.isOrgUnitOfPublication.latestForDiscovery89dd45fa-deb6-4720-9d8c-dda2ce24aa4c

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