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.coauthorTunçbağ, Nurcan
dc.contributor.coauthorNussinov, Ruth
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorKeskin, Özlem
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.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipCCR NIH HHS [HHSN261200800001C] Funding Source: Medline
dc.description.sponsorshipIntramural NIH HHS [Z01 BC010440] Funding Source: Medline
dc.description.sponsorshipNCI NIH HHS [HHSN261200800001E] Funding Source: Medline
dc.description.volume1558
dc.identifier.doi10.1007/978-1-4939-6783-4_12
dc.identifier.eissn1940-6029
dc.identifier.isbn978-1-4939-6783-4
dc.identifier.isbn978-1-4939-6781-0
dc.identifier.issn1064-3745
dc.identifier.scopus2-s2.0-85011556565
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.wos430676400013
dc.keywordsStructural matching
dc.keywordsPPI prediction
dc.keywordsMutation mapping
dc.keywordsPPI network
dc.keywordsStructural pathway modeling
dc.keywordsBreast-cancer metastasis
dc.keywordsInterfaces
dc.keywordsGenes
dc.keywordsArchitectures
dc.keywordsSimilarities
dc.keywordsRefinement
dc.keywordsDatabase
dc.language.isoeng
dc.publisherHumana Press Inc
dc.relation.ispartofProtein Bioinformatics: From Protein Modifications and Networks To Proteomics
dc.subjectBiochemical Research Methods
dc.subjectBiochemistry molecular biology
dc.subjectMathematical Computational Biology
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
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Chemical and Biological Engineering
local.publication.orgunit2Department of Computer Engineering
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relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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