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A unified graph-based approach for protein function prediction using AlphaFold structures and sequence features.

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Bibliographic Details
Title:	A unified graph-based approach for protein function prediction using AlphaFold structures and sequence features.
Authors:	Nguyen TT; Faculty of Information Technology, Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Viet Nam., Zheng W; Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore., Nguyen VN; Faculty of Information Technology, Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Viet Nam., Le NQK; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan; AIBioMed Research Group, Taipei Medical University, Taipei, 110, Taiwan; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, 110, Taiwan. Electronic address: khanhlee@tmu.edu.tw., Chua MCH; Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. Electronic address: matthewchua@nus.edu.sg.
Source:	Computational biology and chemistry [Comput Biol Chem] 2026 Feb; Vol. 120 (Pt 1), pp. 108609. Date of Electronic Publication: 2025 Aug 15.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Elsevier Country of Publication: England NLM ID: 101157394 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-928X (Electronic) Linking ISSN: 14769271 NLM ISO Abbreviation: Comput Biol Chem Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1476-928X
DOI:	10.1016/j.compbiolchem.2025.108609