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Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space
Cell-penetrating peptides (CPPs) are naturally able to cross the lipid bilayer membrane that protects cells. These peptides share common structural and physicochemical properties and show different pharmaceutical applications, among which drug delivery is the most important. Due to their ability 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/PMC8027643/ https://www.ncbi.nlm.nih.gov/pubmed/33828175 http://dx.doi.org/10.1038/s41598-021-87134-w |