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Potential compound from herbal food of rhizoma polygonati for treatment of COVID-19 analyzed by network pharmacology and molecular docking technology
- Source :
- Journal of Functional Foods
- Publication Year :
- 2020
- Publisher :
- The Author(s). Published by Elsevier Ltd., 2020.
-
Abstract
- Graphical abstract<br />Highlight • Network pharmacology of drug targets of Rhizoma Polygonati (RP) were constructed. • Molecular docking identified high affinity binding of diosgenin and (+)-Syringaresinol-O-beta-D-glucoside to the target proteins of SARS-CoV-2. • Potential compounds in RP may act on multiple target-signaling for potential treatment of COVID-19.<br />Rhizoma Polygonati (huangjing in Chinese, 黄精) is an herb-homology-food used as a component of alternative medicine treating COVID-19 in the current pandemic emergency in China but the mechanisms remain elusive. Here using TCMSP and Swiss Target Prediction databases to sort out the potential targets of the main chemical components and GenCLiP3, NCBI, and GeneCard databases to search for COVID-19 related targets, the chemical compound-target-pathway network was analyzed. Each component was molecularly docked with host cell target angiotensin converting enzyme II, SARS-CoV-2 targets Spike protein, RNA-dependent RNA polymerase, or 3CL hydrolase. Our results showed a higher affinity of the compound diosgenin and (+)-Syringaresinol-O-beta-D-glucoside binding to the three SARS-CoV-2 proteins compared to the other compounds tested. Thus, our data suggest that potential compounds in Rhizoma Polygonati may act on different targets and have a great potential in treatment of COVID-19.
- Subjects :
- PPI, protein-protein interaction network
SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2
COVID-19
E, envelope
Network Pharmacology
New coronavirus pneumonia
ACE2, angiotensin converting enzyme II
Article
Molecular Docking
Rhizoma Polygonati
3CL, 3C-like proteinase
COVID-19, corona virus disease-2019
RdRp, RNA dependent RNA polymerase
S, spike protein
M, membrane
ComputingMethodologies_COMPUTERGRAPHICS
N, nucleocapsid
Subjects
Details
- Language :
- English
- ISSN :
- 22149414 and 17564646
- Database :
- OpenAIRE
- Journal :
- Journal of Functional Foods
- Accession number :
- edsair.pmid..........9414004c72b88e7aeb0d43a5dd92148b