Prediction of Protein-Protein Interactions Using An Effective Sequence Based Combined Method

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dc.contributor.authorGoktepe, Yunus Emre
dc.contributor.authorKodaz, Halife
dc.date.accessioned2020-03-26T19:55:17Z
dc.date.available2020-03-26T19:55:17Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractProteins and their interactions play a key role in the realization of all cellular biological activities of organisms. Therefore, prediction of protein-protein interactions is crucial for elucidating biological processes. Experimental studies are inadequate for some reasons such as the time required to reveal interactions, the fact that it is an expensive way and the number of yet unknown interactions is too great. Thus, a number of computational methods have been developed to predict protein-protein interactions. Generally, many of these methods that produce good results cannot be used without additional biological information such as protein domains, protein structural information, gene neighborhoods, gene expressions, and phylogenetic profiles. Therefore, there is a need for computational methods that can successfully predict interactions using only protein sequences. In this study, we present a novel sequence-based computational model. We applied a new technique called weighted skip-sequential conjoint triads in the proposed method. The results of this research were evaluated on generally used databases and demonstrated its success in this field. (C) 2018 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.neucom.2018.03.062en_US
dc.identifier.endpage74en_US
dc.identifier.issn0925-2312en_US
dc.identifier.issn1872-8286en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage68en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.neucom.2018.03.062
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36882
dc.identifier.volume303en_US
dc.identifier.wosWOS:000432491800007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofNEUROCOMPUTINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectProtein-protein interactionsen_US
dc.subjectSequence-based predictionen_US
dc.subjectFeature extractionen_US
dc.subjectConjoint triadsen_US
dc.subjectPrincipal component analysesen_US
dc.subjectSupport vector machinesen_US
dc.titlePrediction of Protein-Protein Interactions Using An Effective Sequence Based Combined Methoden_US
dc.typeArticleen_US

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