Extended dipeptide composition framework for accurate identification of anticancer peptides
Extended dipeptide composition framework for accurate identification of anticancer peptides
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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The identification of anticancer peptides (ACPs) is crucial, especially in the development of peptide-based cancer therapy. The classical models such as Split Amino Acid Composition (SAAC) and Pseudo Amino Acid Composition (PseAAC) lack the incorporation of feature representation. These advancements improve the predictive accuracy and efficiency of...
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Extended dipeptide composition framework for accurate identification of anticancer peptides
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TN_cdi_doaj_primary_oai_doaj_org_article_28c04f185cec4eec9cfd6013d1931334
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_28c04f185cec4eec9cfd6013d1931334
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-68475-8
