Affiliation:
1. Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University,
Nanning, China
Abstract
Background:
A xiaoqinglong decoction (XQLD) has been proven effective in treating
severe coronavirus disease 2019 (COVID-19) cases; however, the mechanism remains unclear.
Objective:
In the current study, we used network pharmacology and molecular docking technology
to identify the effective components, potential targets, and biological pathways of XQLD against
COVID-19.
Methods:
Public databases were searched to determine the putative targets of the active compounds
of XQLD and COVID-19-related targets. STRING and Cytoscape were used to establish
the protein-protein interaction network and drug component, along with the target-pathway network.
The DAVID database was used to enrich the biological functions and signaling pathways.
AutoDock Vina was used for virtual docking.
Results:
We identified 138 active compounds and 259 putative targets of XQLD. Biological network
analysis showed that quercetin, beta-sitosterol, kaempferol, stigmasterol, and luteolin may be
critical ingredients of XQLD, whereas VEGFA, IL-6, MAPK3, CASP3, STAT3, MAPK1,
MAPK8, CASP8, CCL2, and FOS may be candidate drug targets. Enrichment analysis illustrated
that XQLD could function by regulating viral defense, inflammatory response, immune response,
and apoptosis. Molecular docking results showed a high affinity between the critical ingredients
and host cell target proteins.
Conclusion:
This study uncovered the underlying pharmacological mechanism of XQLD against
COVID-19. These findings lay a solid foundation for promoting the development of new drugs
against severe acute respiratory syndrome coronavirus-2 infection and may contribute to the global
fight against the COVID-19 pandemic.
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine
Cited by
2 articles.
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