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Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method
As anticancer peptides (ACPs) have attracted great interest for cancer treatment, several approaches based on machine learning have been proposed for ACP identification. Although existing methods have afforded high prediction accuracies, however such models are using a large number of descriptors to...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862624/ https://www.ncbi.nlm.nih.gov/pubmed/33542286 http://dx.doi.org/10.1038/s41598-021-82513-9 |