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dc.contributor.authorAtasever, Sema
dc.contributor.authorAzgınoglu, Nuh
dc.contributor.authorErbay, Hasan
dc.contributor.authorAydın, Zafer
dc.date.accessioned2022-03-04T07:27:09Z
dc.date.available2022-03-04T07:27:09Z
dc.date.issued2021en_US
dc.identifier.issn1516-8913
dc.identifier.issn1678-4324
dc.identifier.urihttps //doi.org/10.1590/1678-4324-2021210007
dc.identifier.urihttps://hdl.handle.net/20.500.12573/1229
dc.descriptionThis work was supported by 3501 TUBITAK National Young Researches Career Award [grant number 113E550].en_US
dc.description.abstractAbstract Improving the accuracy of protein secondary structure prediction has been an important task in bioinformatics since it is not only the starting point in obtaining tertiary structure in hierarchical modeling but also enhances sequence analysis and sequence-structure threading to help determine structure and function. Herein we present a model based on DSPRED classifier, a hybrid method composed of dynamic Bayesian networks and a support vector machine to predict 3-state secondary structure information of proteins. We used the SCOPe (Structural Classification of Proteins-extended) database to train and test the model. The results show that DSPRED reached a Q3 accuracy rate of 82.36% when trained and tested using proteins from all SCOPe classes. We compared our method with the popular PSIPRED on the SCOPe test datasets and found that our method outperformed PSIPRED.en_US
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) 3501 113E550en_US
dc.language.isoengen_US
dc.publisherINST TECNOLOGIA PARANARUA PROF ALGACYR MUNHOZ MADER 3775-CIC, 81350-010 CURITIBA-PARANA, BRAZILen_US
dc.relation.isversionof10.1590/1678-4324-2021210007en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectProtein secondary structure predictionen_US
dc.subjectSCOPeen_US
dc.subjectSupport Vector Machineen_US
dc.subjectDynamic Bayesian Networken_US
dc.title3-State Protein Secondary Structure Prediction based on SCOPe Classesen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0002-2295-7917en_US
dc.contributor.institutionauthorAtasever, Sema
dc.identifier.volumeVolume 64en_US
dc.relation.journalBrazilian Archives of Biology and Technologyen_US
dc.relation.tubitak3501 113E550
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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