GraphUnet-SS: A novel deep learning model for protein secondary structure prediction based on U-Net architecture.

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Bibliographic Details
Title: GraphUnet-SS: A novel deep learning model for protein secondary structure prediction based on U-Net architecture.
Authors: 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. Electronic address: sabzekar@birjandut.ac.ir., Aydin Z; Abdullah Gül University, Engineering Faculty, Computer Engineering Department, Kayseri, Turkey.
Source: Computers in biology and medicine [Comput Biol Med] 2026 Apr 01; Vol. 205, pp. 111598. Date of Electronic Publication: 2026 Feb 27.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2026.111598