Multi-ACPNet: A multi-scale sequence-structure feature fusion framework for anticancer peptide identification and functional prediction

Lu Meng; Lijun Zhou

doi:10.1371/journal.pcbi.1014053

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Open Access

Peer-reviewed

Research Article

Multi-ACPNet: A multi-scale sequence-structure feature fusion framework for anticancer peptide identification and functional prediction

Lu Meng ,

Roles Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing – review & editing

* E-mail: menglu1982@gmail.com

Affiliations College of Information Science and Engineering, Northeastern University, Shenyang, China, The Foshan Graduate School of Innovation, Northeastern University, Shenyang, China

https://orcid.org/0000-0003-2442-8354

⨯
Lijun Zhou

Roles Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation College of Information Science and Engineering, Northeastern University, Shenyang, China
⨯

Multi-ACPNet: A multi-scale sequence-structure feature fusion framework for anticancer peptide identification and functional prediction

Lu Meng,
Lijun Zhou

Published: March 10, 2026
https://doi.org/10.1371/journal.pcbi.1014053

About the Authors

Lu Meng

Roles Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing – review & editing

* E-mail: menglu1982@gmail.com

Affiliations College of Information Science and Engineering, Northeastern University, Shenyang, China, The Foshan Graduate School of Innovation, Northeastern University, Shenyang, China

https://orcid.org/0000-0003-2442-8354

Lijun Zhou

Roles Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation College of Information Science and Engineering, Northeastern University, Shenyang, China

Competing Interests

The authors have declared that no competing interests exist.

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