Fig. 3
From: Network machine learning maps phytochemically rich “Hyperfoods” to fight COVID-19
The contained profiles of compounds within specific foods, with predicted effectiveness in targeting SARS-CoV-2-host interactome networks. Each node in the figure denotes a particular food item, and node size in each case is scaled by the derived enrichment score based on the diversity and relative levels of molecules with predicted anti-COVID-19 properties. The links between nodes reflect the pairwise correlation (“similarity”) antiviral profiles in foods; thus, the clusters of foods illustrate molecular commonality between them. A list of foods, constituent food compounds and enrichment scores can be found in Additional file 8