Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models

Drug-decorated nanoparticles (DDNPs) have important medical applications. The current work combined Perturbation Theory with Machine Learning and Information Fusion (PTMLIF). Thus, PTMLIF models were proposed to predict the probability of nanoparticle–compound/drug complexes having antimalarial acti...

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Detalles Bibliográficos
Autores principales: Urista, Diana V., Carrué, Diego B., Otero, Iago, Arrasate, Sonia, Quevedo-Tumailli, Viviana F., Gestal, Marcos, González-Díaz, Humbert, Munteanu, Cristian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465777/
https://www.ncbi.nlm.nih.gov/pubmed/32751710
http://dx.doi.org/10.3390/biology9080198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465777/
https://www.ncbi.nlm.nih.gov/pubmed/32751710
http://dx.doi.org/10.3390/biology9080198

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