ACP-CapsPred: an explainable computational framework for identification and functional prediction of...
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network
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Publisher
England: Oxford University Press
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Language
English
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Publisher
England: Oxford University Press
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Abstract
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 framew...
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Full title
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11410379
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11410379
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ISSN
1467-5463,1477-4054
E-ISSN
1477-4054
DOI
10.1093/bib/bbae460
