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dc.creatorPerović, Vladimir R.
dc.creatorŠumonja, Neven
dc.creatorMarsh, Lindsey A.
dc.creatorRadovanović, Sandro
dc.creatorVukićević, Milan
dc.creatorRoberts, Stefan G. E.
dc.creatorVeljković, Nevena V.
dc.date.accessioned2018-09-12T10:03:58Z
dc.date.available2018-09-12T10:03:58Z
dc.date.issued2018
dc.identifier.issn2045-2322 (print)
dc.identifier.urihttp://www.nature.com/articles/s41598-018-28815-x
dc.identifier.urihttp://vinar.vin.bg.ac.rs/handle/123456789/7811
dc.description.abstractIntrinsically disordered proteins (IDPs) are characterized by the lack of a fixed tertiary structure and are involved in the regulation of key biological processes via binding to multiple protein partners. IDPs are malleable, adapting to structurally different partners, and this flexibility stems from features encoded in the primary structure. The assumption that universal sequence information will facilitate coverage of the sparse zones of the human interactome motivated us to explore the possibility of predicting protein-protein interactions (PPIs) that involve IDPs based on sequence characteristics. We developed a method that relies on features of the interacting and non-interacting protein pairs and utilizes machine learning to classify and predict IDP PPIs. Consideration of both sequence determinants specific for conformational organizations and the multiplicity of IDP interactions in the training phase ensured a reliable approach that is superior to current state-of-the-art methods. By applying a strict evaluation procedure, we confirm that our method predicts interactions of the IDP of interest even on the proteome-scale. This service is provided as a web tool to expedite the discovery of new interactions and IDP functions with enhanced efficiency. © 2018 The Author(s).
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173001/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/41008/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/32013/RS//
dc.relationBBSRC (BB/K000446/1)
dc.relationCOST Action (BM1405)
dc.rightsopenAccess
dc.sourceScientific Reports
dc.titleIDPpi: Protein-Protein Interaction Analyses of Human Intrinsically Disordered Proteinsen
dc.typearticleen
dc.rights.licenseBY
dcterms.abstractПеровиц, Владимир; Сумоња, Невен; Марсх, Линдсеy A; Радовановиц, Сандро; Вукицевиц, Милан; Робертс, Стефан Г Е; Вељковиц, Невена;
dc.rights.holder© 2018 The Author(s)
dc.citation.volume8
dc.citation.issue1
dc.citation.spage10563
dc.identifier.wos000438343600073
dc.identifier.doi10.1038/s41598-018-28815-x
dc.identifier.pmid30002402
dc.type.versionpublishedVersion
dc.identifier.scopus2-s2.0-85049874911
dc.identifier.fulltexthttp://vinar.vin.bg.ac.rs//bitstream/id/10410/s41598-018-28815-x.pdf


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