Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning

The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built to predict the probability of different pairs of drugs and nanoparticles creating DDNP com...

Descripción completa

Detalles Bibliográficos
Autores principales: Munteanu, Cristian R., Gutiérrez-Asorey, Pablo, Blanes-Rodríguez, Manuel, Hidalgo-Delgado, Ismael, Blanco Liverio, María de Jesús, Castiñeiras Galdo, Brais, Porto-Pazos, Ana B., Gestal, Marcos, Arrasate, Sonia, González-Díaz, Humbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584266/
https://www.ncbi.nlm.nih.gov/pubmed/34768951
http://dx.doi.org/10.3390/ijms222111519

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584266/
https://www.ncbi.nlm.nih.gov/pubmed/34768951
http://dx.doi.org/10.3390/ijms222111519

Ejemplares similares