2021
DOI: 10.1177/1934578x211031404
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Identification of the Mechanism of Feiduqing on Viral Pneumonia Based on Network Pharmacology Analysis

Abstract: Feiduqing (FDQ) is a traditional Chinese medicine formula used for many years in the treatment of viral pneumonia (VP). However, the effective components of FDQ and the mechanism by which it affects VP remain unclear. The purpose of this study is to determine the multitarget mechanism of the effect of FDQ on VP through determination and in vivo pharmacodynamics combined with network pharmacology. Firstly, the compound–target–pathway network was constructed by using TCMSP, UniProt, GeneCards, STRING, and DAVID … Show more

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“…The Frontiers in Pharmacology frontiersin.org stability between the two can be judged by the binding energy, which can be used to determine how well a protein binds to a ligand compound. When the binding energy of the ligand to the receptor is lower, the more stable the binding conformation of the two and the higher the possibility of interaction, which is generally evaluated at −5 kcal/mol (Liu et al, 2020;Lu and Wang, 2021). The results demonstrated that colchicine had a relatively high binding potential to CYCS, MPO, HDAC1, ERBB2, F2, GSR, HDAC3, HPGDS, MMP2, ACTA1, HDAC6, HDAC2, SDHA and ACHE (Table 1).…”
Section: Active Ingredient-intersection Target Molecular Dockingmentioning
confidence: 99%
“…The Frontiers in Pharmacology frontiersin.org stability between the two can be judged by the binding energy, which can be used to determine how well a protein binds to a ligand compound. When the binding energy of the ligand to the receptor is lower, the more stable the binding conformation of the two and the higher the possibility of interaction, which is generally evaluated at −5 kcal/mol (Liu et al, 2020;Lu and Wang, 2021). The results demonstrated that colchicine had a relatively high binding potential to CYCS, MPO, HDAC1, ERBB2, F2, GSR, HDAC3, HPGDS, MMP2, ACTA1, HDAC6, HDAC2, SDHA and ACHE (Table 1).…”
Section: Active Ingredient-intersection Target Molecular Dockingmentioning
confidence: 99%