Publication:
HotRegion: a database of predicted hot spot clusters

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.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.yokidN/A
dc.contributor.yokid8745
dc.contributor.yokid26605
dc.date.accessioned2024-11-09T13:48:20Z
dc.date.issued2012
dc.description.abstractHot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. Hot regions are important for the stability of protein complexes, as well as providing specificity to binding sites. We propose a database called HotRegion, which provides the hot region information of the interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided.
dc.description.fulltextYES
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue1
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TÜBİTAK)
dc.description.sponsorshipTurkish Academy of Sciences (TÜBA)
dc.description.versionPublisher version
dc.description.volume40
dc.formatPDF
dc.identifier.doi10.1093/nar/gkr929
dc.identifier.eissn1362-4962
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR00131
dc.identifier.issn0305-1048
dc.identifier.linkhttps://doi.org/10.1093/nar/gkr929
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-84861036418
dc.identifier.urihttps://hdl.handle.net/20.500.14288/3816
dc.identifier.wos298601300124
dc.keywordsProtein-protein interfaces
dc.keywordsModular architecture
dc.keywordsConserved residues
dc.keywordsBinding-energy
dc.keywordsOrganization
dc.keywordsSites
dc.keywordsIdentification
dc.keywordsCooperativity
dc.languageEnglish
dc.publisherOxford University Press (OUP)
dc.relation.grantno109T343
dc.relation.grantno109E207
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/1165
dc.sourceNucleic Acids Research
dc.subjectBiochemistry and molecular biology
dc.titleHotRegion: a database of predicted hot spot clusters
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
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublicationc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
1165.pdf
Size:
1.94 MB
Format:
Adobe Portable Document Format