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Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron

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dc.contributor.authors Yavuz, BC; Yurtay, N; Ozkan, O;
dc.date.accessioned 2020-02-27T07:01:05Z
dc.date.available 2020-02-27T07:01:05Z
dc.date.issued 2018
dc.identifier.citation Yavuz, BC; Yurtay, N; Ozkan, O; (2018). Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron. IEEE ACCESS, 6, 45261-45256
dc.identifier.issn 2169-3536
dc.identifier.uri https://doi.org/10.1109/ACCESS.2018.2864665
dc.identifier.uri https://hdl.handle.net/20.500.12619/64887
dc.description.abstract The recent studies indicate that the protein secondary structure provides very important advantages in determining the function of a protein, treating numerous diseases and drug design. Determining the secondary structure in the laboratory environment is both costly and challenging. Therefore, the prediction of protein secondary structure has been an important study field of bioinformatics and computational biology for many years. The aim of this paper was to provide a contribution to the prediction of protein secondary structure using the nature-inspired methods. The data in the first phase were trained with clonal selection algorithm (CSA) which was modeled by being inspired by the live immune system. The classification was then performed with multilayer perceptron which is one of the deep learning methods modeled by being inspired by the biological nervous system. The results obtained indicated that training of the data with CSA prior to classification contributed positively to classification success.
dc.language English
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.subject Telecommunications
dc.title Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron
dc.type Article
dc.identifier.volume 6
dc.identifier.startpage 45256
dc.identifier.endpage 45261
dc.contributor.department Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilişim Sistemleri Mühendisliği Bölümü
dc.contributor.saüauthor Çarklı Yavuz, Burcu
dc.contributor.saüauthor Yurtay, Nilüfer
dc.contributor.saüauthor Özkan, Özhan
dc.relation.journal IEEE ACCESS
dc.identifier.wos WOS:000444519100001
dc.identifier.doi 10.1109/ACCESS.2018.2864665
dc.contributor.author Çarklı Yavuz, Burcu
dc.contributor.author Yurtay, Nilüfer
dc.contributor.author Özkan, Özhan


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