As a bioinformatic strategy, the present study was designed to use a
network pharmacology analysis to uncover the pharmacological function
and mechanism of puerarin to treat novel coronavirus pneumonia (NPC).
Following methodological platforms, all theoretical and pivotal targets,
anti-NPC mechanism of puerarin were filtrated and disclosed. As results,
the pivotal targets of puerarin to treat NPC were collected and
identified, comprising of EGFR, TNF, TP53, CASP3, RELA, FOS, CASP8,
PTGS2, IL2, PRKCB, BCL2, PRKCA, NOS3, PPARG. Functionally, the anti-NPC
action of puerarin was associated with suppression of oxidative stress
and inflammatory cascades, cell apoptosis. Mechanically, the signaling
pathways of puerarin to treat NPC were uncovered, including modulation
of the pathways of Apoptosis, IL-17 signaling, MAPK signaling, TNF
signaling. Molecular docking data illustrated the binding capacity of
puerarin with NPC, and effective anti-NPC activity of puerarin. Taken
together, our current network pharmacology-based findings revealed the
pharmacological biotarget and mechanism of puerarin to treat NPC.
Further, the bioinformatics findings elucidated that some of these 14
pivotal targets might serve as the potential molecular markers for
detecting NPC, a rapidly emerging and evolving disease.