Cargando…
In vitro and in silico prediction of antibacterial interaction between essential oils via graph embedding approach
Essential oils contain a variety of volatile metabolites, and are expected to be utilized in wide fields such as antimicrobials, insect repellents and herbicides. However, it is difficult to foresee the effect of oil combinations because hundreds of compounds can be involved in synergistic and antag...
Autores principales: | Yabuuchi, Hiroaki, Hayashi, Kazuhito, Shigemoto, Akihiko, Fujiwara, Makiko, Nomura, Yuhei, Nakashima, Mayumi, Ogusu, Takeshi, Mori, Megumi, Tokumoto, Shin-ichi, Miyai, Kazuyuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622510/ https://www.ncbi.nlm.nih.gov/pubmed/37919469 http://dx.doi.org/10.1038/s41598-023-46377-5 |
Ejemplares similares
-
Virtual screening of antimicrobial plant extracts by machine-learning classification of chemical compounds in semantic space
por: Yabuuchi, Hiroaki, et al.
Publicado: (2023) -
Embedded graphs
por: Lando, S, et al.
Publicado: (2001) -
Graph Embedding for Pattern Analysis
por: Fu, Yun, et al.
Publicado: (2013) -
Embedding graphs in Lorentzian spacetime
por: Clough, James R., et al.
Publicado: (2017) -
On dihedral flows in embedded graphs
por: Litjens, Bart
Publicado: (2018)