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...

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Detalles Bibliográficos
Autores principales: Charoenkwan, Phasit, Chiangjong, Wararat, Lee, Vannajan Sanghiran, Nantasenamat, Chanin, Hasan, Md. Mehedi, Shoombuatong, Watshara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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