Publication:
Prediction of protein interactions by structural matching: prediction of PPI networks and the effects of mutations on PPIs that combines sequence and structural information

dc.contributor.coauthorTuncbag, Nurcan
dc.contributor.coauthorNussinov, Ruth
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-10T00:05:08Z
dc.date.issued2017
dc.description.abstractStructural details of protein interactions are invaluable to the understanding of cellular processes. However, the identification of interactions at atomic resolution is a continuing challenge in the systems biology era. Although the number of structurally resolved complexes in the Protein Databank increases exponentially, the complexes only cover a small portion of the known structural interactome. In this chapter, we review the PRISM system that is a protein–protein interaction (PPI) prediction tool—its rationale, principles, and applications. We further discuss its extensions to discover the effect of single residue mutations, to model large protein assemblies, to improve its performance by exploiting conformational protein ensembles, and to reconstruct large PPI networks or pathway maps.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessNO
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuEU - TÜBİTAK
dc.description.sponsorshipN.T. thanks to the TUBITAK-Marie Curie Co-funded Brain Circulation Scheme (114C026) and the Young Scientist Award Program of the Science Academy (Turkey) for the support. O.K and A.G. are members of the Science Academy (Turkey). We acknowledge the partial funding from TUBITAK projects (114M196 and 113E164). This project has been funded in whole or in part with Federal funds from the Frederick National Laboratory for Cancer Research, National Institutes of Health, under contract HHSN261200800001E. This research was supported [in part] by the Intramural Research Program of NIH, Frederick National Lab, Center for Cancer Research.
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1007/978-1-4939-6783-4_12
dc.identifier.eissn1940-6029
dc.identifier.embargoN/A
dc.identifier.endpage270
dc.identifier.grantno114C026
dc.identifier.grantno114M196
dc.identifier.grantno113E164
dc.identifier.isbn9781493967834
dc.identifier.isbn9781493967810
dc.identifier.isbn9781493982998
dc.identifier.issn1064-3745
dc.identifier.pubmed28150242
dc.identifier.scopus2-s2.0-85011556565
dc.identifier.startpage255
dc.identifier.urihttps://doi.org/10.1007/978-1-4939-6783-4_12
dc.identifier.urihttps://hdl.handle.net/20.500.14288/16377
dc.identifier.volume1558
dc.identifier.wos000430676400013
dc.keywordsStructural matching
dc.keywordsPPI prediction
dc.keywordsMutation mapping
dc.keywordsPPI network
dc.keywordsStructural pathway modeling
dc.language.isoeng
dc.publisherHumana Press
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofProtein Bioinformatics: From Protein Modifications and Networks to Proteomics
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectStructure-based prediction of protein interactions
dc.subjectProtein–protein interaction prediction
dc.subjectStructural bioinformatics of PPIs
dc.titlePrediction of protein interactions by structural matching: prediction of PPI networks and the effects of mutations on PPIs that combines sequence and structural information
dc.typeBook Chapter
dspace.entity.typePublication
local.contributor.kuauthorKeskin, Özlem
local.contributor.kuauthorGürsoy, Attila
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relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae
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