Network machine learning maps phytochemically rich “Hyperfoods” to fight COVID-19

In this paper, we introduce a network machine learning method to identify potential bioactive anti-COVID-19 molecules in foods based on their capacity to target the SARS-CoV-2-host gene-gene (protein-protein) interactome. Our analyses were performed using a supercomputing DreamLab App platform, harn...

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Detalles Bibliográficos
Autores principales: Laponogov, Ivan, Gonzalez, Guadalupe, Shepherd, Madelen, Qureshi, Ahad, Veselkov, Dennis, Charkoftaki, Georgia, Vasiliou, Vasilis, Youssef, Jozef, Mirnezami, Reza, Bronstein, Michael, Veselkov, Kirill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775839/
https://www.ncbi.nlm.nih.gov/pubmed/33386081
http://dx.doi.org/10.1186/s40246-020-00297-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775839/
https://www.ncbi.nlm.nih.gov/pubmed/33386081
http://dx.doi.org/10.1186/s40246-020-00297-x

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