Legend:
Figure 1: A. The three prescriptions compounds were screened for active
ingredients by OB ≥ 30% and DL ≥ 0.18. The effective compounds in the
three prescriptions were 116, 133, and 145, respectively. B. Venn
diagram of intersected targets of effective compounds and disease. C.
The number of connections between the intersecting genes and the
randomly selected genes in protein interaction was significant different
(P <0.001). D. Herb compounds and disease targets action
network. (a: Mahuang Decoction; b: Yinqiao Powder; c: Dayuan Decoction)
E. The five key compounds of the three prescriptions screened according
to the disease target network diagram with each prescription compounds.
Figure 2: A-C. MH, YQ and DY PPI network respectively. D-F. MH, YQ and
DY Hub gene network diagram respectively. G-I. Go rich clustering
analysis of the hub genes of MH, YQ and DY respectively.
Figure 3: The top ten Hub genes of the three prescriptions by MCC value.
Figure 4: The Go biological process enrichment of all the intersection
genes between herbs compounds and disease.
Figure 5: Directed Acyclic Graph of the three prescriptions.
Figure 6: The barplots of the top 20 entries according to the KEGG
pathway enrichment analysis.
Figure 7: Network diagrams of the main mechanisms of five key compounds
in the treatment of viral pneumonia.
Figure 8: Docking simulation of 5 key compounds with 3CL of COVID-19 (A:
Kaempferol; B: Luteolin; C: Naringenin; D: Quercetin; E: Wogonin; F:
Ligand).
Figure 9: The network analysis workflow for understanding how Chinese
Medicine functions on COVID-19, based on Chinese Medicine theory and
biological mechanisms.