Inflammation is a
dysregulated immune response characterized by
an excessive release of proinflammatory mediators, such as cytokines
and prostanoids, leading to tissue damage and various pathological
conditions. Natural compounds, notably phenolic acid phytocompounds
from plants, have recently garnered substantial interest as potential
therapeutic agents to bolster well-being and combat inflammation recently.
Based on previous research, the precise molecular mechanism underlying
the anti-inflammatory activity of phenolic acids remains elusive.
Therefore, this study aimed to predict the molecular mechanisms underpinning
the anti-inflammatory properties of selected phenolic acid phytocompounds
through comprehensive network pharmacology, molecular docking, and
dynamic simulations. Network pharmacology analysis successfully identified
TNF-α convertase as a potential target for anti-inflammatory
purposes. Among tested compounds, chlorogenic acid (−6.90 kcal/mol),
rosmarinic acid (−6.82 kcal/mol), and ellagic acid (−5.46
kcal/mol) exhibited the strongest binding affinity toward TNF-α
convertase. Furthermore, phenolic acid compounds demonstrated molecular
binding poses similar to those of the native ligand, indicating their
potential as inhibitors of TNF-α convertase. This study provides
valuable insights into the molecular mechanisms that drive the anti-inflammatory
effects of phenolic compounds, particularly through the suppression
of TNF-α production via TNF-α convertase inhibition, thus
reinforcing their anti-inflammatory attributes.