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...

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Detalles Bibliográficos
Autores principales: de Oliveira, Ewerton Cristhian Lima, Santana, Kauê, Josino, Luiz, Lima e Lima, Anderson Henrique, de Souza de Sales Júnior, Claudomiro
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/PMC8027643/
https://www.ncbi.nlm.nih.gov/pubmed/33828175
http://dx.doi.org/10.1038/s41598-021-87134-w

Internet

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

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