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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Hum Genomics
Hauptverfasser: Laponogov, Ivan, Gonzalez, Guadalupe, Shepherd, Madelen, Qureshi, Ahad, Veselkov, Dennis, Charkoftaki, Georgia, Vasiliou, Vasilis, Youssef, Jozef, Mirnezami, Reza, Bronstein, Michael, Veselkov, Kirill
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2021
Schlagworte:
Primary Research
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7775839/
https://ncbi.nlm.nih.gov/pubmed/33386081
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40246-020-00297-x
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge