Computation-Assisted Identification of Bioactive Compounds in Botanical Extracts: A Case Study of Anti-Inflammatory Natural Products from Hops

The slow pace of discovery of bioactive natural products can be attributed to the difficulty in rapidly identifying them in complex mixtures such as plant extracts. To overcome these hurdles, we explored the utility of two machine learning techniques, i.e., Elastic Net and Random Forests, for identi...

Descripción completa

Detalles Bibliográficos
Autores principales: Brown, Kevin S., Jamieson, Paige, Wu, Wenbin, Vaswani, Ashish, Alcazar Magana, Armando, Choi, Jaewoo, Mattio, Luce M., Cheong, Paul Ha-Yeon, Nelson, Dylan, Reardon, Patrick N., Miranda, Cristobal L., Maier, Claudia S., Stevens, Jan F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312012/
https://www.ncbi.nlm.nih.gov/pubmed/35883889
http://dx.doi.org/10.3390/antiox11071400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312012/
https://www.ncbi.nlm.nih.gov/pubmed/35883889
http://dx.doi.org/10.3390/antiox11071400

Ejemplares similares