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ACP-EPC: an interpretable deep learning framework for anticancer peptide prediction utilizing pre-trained protein language model and multi-view feature extracting strategy.

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Title: ACP-EPC: an interpretable deep learning framework for anticancer peptide prediction utilizing pre-trained protein language model and multi-view feature extracting strategy.
Authors: Lv J; School of Computer Science and Technology, Hainan University, Haikou, 570228, China., Li K; School of Computer Science and Technology, Hainan University, Haikou, 570228, China., Wang Y; School of Computer Science and Technology, Hainan University, Haikou, 570228, China., Xu J; School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China., Meng Y; School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, 430200, Hubei, China., Cui F; School of Computer Science and Technology, Hainan University, Haikou, 570228, China., Wei L; Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University, Macao SAR, China., Zhang Q; School of Computer Science and Technology, Hainan University, Haikou, 570228, China., Zhang Z; School of Computer Science and Technology, Hainan University, Haikou, 570228, China. zhangzilong@hainanu.edu.cn.
Source: Molecular diversity [Mol Divers] 2026 Apr; Vol. 30 (2), pp. 2239-2254. Date of Electronic Publication: 2025 Sep 13.
Publication Type: Journal Article
Journal Info: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-501X
DOI:10.1007/s11030-025-11352-x