{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T05:22:14Z","timestamp":1775366534371,"version":"3.50.1"},"reference-count":57,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T00:00:00Z","timestamp":1726617600000},"content-version":"vor","delay-in-days":55,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Guangdong Province Basic and Applied Basic Research Fund","award":["2021A1515012447"],"award-info":[{"award-number":["2021A1515012447"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32070659"],"award-info":[{"award-number":["32070659"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010877","name":"Shenzhen Science and Technology Innovation Commission","doi-asserted-by":"publisher","award":["JCYJ20230807114206014"],"award-info":[{"award-number":["JCYJ20230807114206014"]}],"id":[{"id":"10.13039\/501100010877","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Kobilka Institute of Innovative Drug Discovery"},{"DOI":"10.13039\/501100004853","name":"The Chinese University of Hong Kong","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004853","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Center for Intelligent Drug Systems and Smart Bio-devices"},{"name":"Featured Areas Research Center Program"},{"name":"Higher Education Sprout Project and Yushan Young Fellow Program","award":["112C1N084C"],"award-info":[{"award-number":["112C1N084C"]}]},{"DOI":"10.13039\/100009122","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009122","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020595","name":"National Science and Technology Council","doi-asserted-by":"publisher","award":["NSTC 112-2321-B-A49-016"],"award-info":[{"award-number":["NSTC 112-2321-B-A49-016"]}],"id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020595","name":"National Science and Technology Council","doi-asserted-by":"publisher","award":["112-2740-B-400-005"],"award-info":[{"award-number":["112-2740-B-400-005"]}],"id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Cancer is a severe illness that significantly threatens human life and health. Anticancer peptides (ACPs) represent a promising therapeutic strategy for combating cancer. In silico methods enable rapid and accurate identification of ACPs without extensive human and material resources. This study proposes a two-stage computational framework called ACP-CapsPred, which can accurately identify ACPs and characterize their functional activities across different cancer types. ACP-CapsPred integrates a protein language model with evolutionary information and physicochemical properties of peptides, constructing a comprehensive profile of peptides. ACP-CapsPred employs a next-generation neural network, specifically capsule networks, to construct predictive models. Experimental results demonstrate that ACP-CapsPred exhibits satisfactory predictive capabilities in both stages, reaching state-of-the-art performance. In the first stage, ACP-CapsPred achieves accuracies of 80.25% and 95.71%, as well as F1-scores of 79.86% and 95.90%, on benchmark datasets Set 1 and Set 2, respectively. In the second stage, tasked with characterizing the functional activities of ACPs across five selected cancer types, ACP-CapsPred attains an average accuracy of 90.75% and an F1-score of 91.38%. Furthermore, ACP-CapsPred demonstrates excellent interpretability, revealing regions and residues associated with anticancer activity. Consequently, ACP-CapsPred presents a promising solution to expedite the development of ACPs and offers a novel perspective for other biological sequence analyses.<\/jats:p>","DOI":"10.1093\/bib\/bbae460","type":"journal-article","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T22:33:05Z","timestamp":1726698785000},"source":"Crossref","is-referenced-by-count":18,"title":["ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network"],"prefix":"10.1093","volume":"25","author":[{"given":"Lantian","family":"Yao","sequence":"first","affiliation":[{"name":"Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong , 2001 Longxiang Road, Shenzhen 518172, China"},{"name":"School of Science and Engineering, The Chinese University of Hong Kong , 2001 Longxiang Road, Shenzhen 518172, 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Taiwan"}]},{"given":"Wenyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Medicine, The Chinese University of Hong Kong , 2001 Longxiang Road, Shenzhen 518172, China"}]},{"given":"Junyang","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Medicine, The Chinese University of Hong Kong , 2001 Longxiang Road, Shenzhen 518172, China"}]},{"given":"Yixian","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Medicine, The Chinese University of Hong Kong , 2001 Longxiang Road, Shenzhen 518172, China"}]},{"given":"Ying-Chih","family":"Chiang","sequence":"additional","affiliation":[{"name":"Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong , 2001 Longxiang Road, Shenzhen 518172, China"},{"name":"School of Medicine, The Chinese University of Hong Kong , 2001 Longxiang Road, Shenzhen 518172, China"}]},{"given":"Tzong-Yi","family":"Lee","sequence":"additional","affiliation":[{"name":"Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University , 1001 Daxue Road, Hsinchu 300093, Taiwan"},{"name":"Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University , 1001 Daxue Road, Hsinchu 300093, Taiwan"}]}],"member":"286","published-online":{"date-parts":[[2024,9,18]]},"reference":[{"key":"2024091822325032400_ref1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4172\/1948-5956.100000e2","article-title":"History of cancer, ancient and modern treatment methods","volume":"1","author":"Sudhakar","year":"2009","journal-title":"J Cancer Sci Ther"},{"key":"2024091822325032400_ref2","doi-asserted-by":"publisher","first-page":"17","DOI":"10.3322\/caac.21763","article-title":"Cancer statistics, 2023","volume":"73","author":"Siegel","year":"2023","journal-title":"CA Cancer J 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