Cargando…
Application of artificial intelligence to decode the relationships between smell, olfactory receptors and small molecules
Deciphering the relationship between molecules, olfactory receptors (ORs) and corresponding odors remains a challenging task. It requires a comprehensive identification of ORs responding to a given odorant. With the recent advances in artificial intelligence and the growing research in decoding the...
Autores principales: | Achebouche, Rayane, Tromelin, Anne, Audouze, Karine, Taboureau, Olivier |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637086/ https://www.ncbi.nlm.nih.gov/pubmed/36335231 http://dx.doi.org/10.1038/s41598-022-23176-y |
Ejemplares similares
-
Smell compounds classification using UMAP to increase knowledge of odors and molecular structures linkages
por: Rugard, Marylène, et al.
Publicado: (2021) -
Combining the Classification and Pharmacophore Approaches to Understand Homogeneous Olfactory Perceptions at Peripheral Level: Focus on Two Aroma Mixtures
por: Rugard, Marylène, et al.
Publicado: (2023) -
Identification of Odorant-Receptor Interactions by Global Mapping of the Human Odorome
por: Audouze, Karine, et al.
Publicado: (2014) -
Development of an adverse drug event network to predict drug toxicity
por: Wu, Qier, et al.
Publicado: (2020) -
Artificial Olfactory Biohybrid System: An Evolving Sense of Smell
por: Qin, Chuanting, et al.
Publicado: (2022)