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.coauthor | Tunçbağ, Nurcan | |
dc.contributor.coauthor | Nussinov, Ruth | |
dc.contributor.department | Department of Computer Engineering | |
dc.contributor.department | Department of Chemical and Biological Engineering | |
dc.contributor.kuauthor | Gürsoy, Attila | |
dc.contributor.kuauthor | Keskin, Özlem | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.date.accessioned | 2024-11-10T00:05:08Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Structural 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.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | CCR NIH HHS [HHSN261200800001C] Funding Source: Medline | |
dc.description.sponsorship | Intramural NIH HHS [Z01 BC010440] Funding Source: Medline | |
dc.description.sponsorship | NCI NIH HHS [HHSN261200800001E] Funding Source: Medline | |
dc.description.volume | 1558 | |
dc.identifier.doi | 10.1007/978-1-4939-6783-4_12 | |
dc.identifier.eissn | 1940-6029 | |
dc.identifier.isbn | 978-1-4939-6783-4 | |
dc.identifier.isbn | 978-1-4939-6781-0 | |
dc.identifier.issn | 1064-3745 | |
dc.identifier.scopus | 2-s2.0-85011556565 | |
dc.identifier.uri | https://doi.org/10.1007/978-1-4939-6783-4_12 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/16377 | |
dc.identifier.wos | 430676400013 | |
dc.keywords | Structural matching | |
dc.keywords | PPI prediction | |
dc.keywords | Mutation mapping | |
dc.keywords | PPI network | |
dc.keywords | Structural pathway modeling | |
dc.keywords | Breast-cancer metastasis | |
dc.keywords | Interfaces | |
dc.keywords | Genes | |
dc.keywords | Architectures | |
dc.keywords | Similarities | |
dc.keywords | Refinement | |
dc.keywords | Database | |
dc.language.iso | eng | |
dc.publisher | Humana Press Inc | |
dc.relation.ispartof | Protein Bioinformatics: From Protein Modifications and Networks To Proteomics | |
dc.subject | Biochemical Research Methods | |
dc.subject | Biochemistry molecular biology | |
dc.subject | Mathematical Computational Biology | |
dc.title | 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.type | Book Chapter | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Keskin, Özlem | |
local.contributor.kuauthor | Gürsoy, Attila | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Chemical and Biological Engineering | |
local.publication.orgunit2 | Department of Computer Engineering | |
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relation.isOrgUnitOfPublication | c747a256-6e0c-4969-b1bf-3b9f2f674289 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 89352e43-bf09-4ef4-82f6-6f9d0174ebae | |
relation.isParentOrgUnitOfPublication | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 | |
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