GraphUnet-SS: A Novel Deep Learning Model for Protein Secondary Structure Prediction Based on U-Net Architecture

dc.contributor.author Aydin, Zafer
dc.contributor.author Görmez, Yasin
dc.contributor.author Sabzekar, Mostafa
dc.date.accessioned 2026-03-23T14:49:40Z
dc.date.available 2026-03-23T14:49:40Z
dc.date.issued 2026
dc.identifier.doi 10.1016/j.compbiomed.2026.111598
dc.identifier.issn 0010-4825
dc.identifier.scopus 2-s2.0-105031181977
dc.identifier.uri https://hdl.handle.net/20.500.12573/5842
dc.identifier.uri https://doi.org/10.1016/j.compbiomed.2026.111598
dc.language.iso en
dc.publisher Elsevier Ltd
dc.relation.ispartof Computers in Biology and Medicine
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Deep Learning
dc.subject Protein Secondary Structure Prediction
dc.subject Convolutional Neural Networks
dc.subject Graph Convolutional Networks
dc.subject Recurrent Neural Networks
dc.subject Bayesian Optimization
dc.title GraphUnet-SS: A Novel Deep Learning Model for Protein Secondary Structure Prediction Based on U-Net Architecture en_US
dc.type Article
dspace.entity.type Publication
gdc.author.scopusid 57195222392
gdc.author.scopusid 35796344600
gdc.author.scopusid 7003852510
gdc.description.department Abdullah Gül University
gdc.description.departmenttemp [Görmez Y.] Sivas Cumhuriyet University, Faculty of Economics and Administrative Sciences, Management Information Systems, Sivas, Turkey; [Sabzekar M.] Department of Computer Engineering, Birjand University of Technology, Birjand, Iran; [Aydin Z.] Abdullah Gül University, Engineering Faculty, Computer Engineering Department, Kayseri, Turkey
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.volume 205
gdc.identifier.pmid 41759455
gdc.index.type PubMed
gdc.index.type Scopus
gdc.virtual.author Aydın, Zafer
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