mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer cells. The accurate prediction of ACPs from given peptide sequences remains as an open problem in the field of immunoinformatics. Recently, machine learning algorithms have emerged as a promising tool for helping experimental scientists predict ACPs. Howeve...
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Full title
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6514805
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6514805
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ISSN
1422-0067,1661-6596
E-ISSN
1422-0067
DOI
10.3390/ijms20081964
