GCNCPR-ACPs: a novel graph convolution network method for ACPs prediction
Abstract Background Anticancer peptide (ACP) inhibits and kills tumor cells. Research on ACP is of great significance for the development of new drugs, and the prediction of ACPs and non-ACPs is the new hotspot. Results We propose a new machine learning-based method named GCNCPR-ACPs (a Graph Convol...
| Hlavní autoři: | , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
BMC
2022-12-01
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| Edice: | BMC Bioinformatics |
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| On-line přístup: | https://doi.org/10.1186/s12859-022-04771-2 |