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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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