ABSTRACT
Objective: To explore the potential effect of Shengjiang San for inhibiting SARS-CoV-2. Methods: The target genes of Beauveria bassiana, Cryptotympana pustulata, Curcuma longa, Rheum officinale in Shengjiang San were screened out through the database analysis of Encyclopedia of Traditional Chinese Medicine (ETCM), and traditional Chinese medicine system pharmacology platform (TCMSP), Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) and Collective Molecular Activities of Useful Plants (CMAUP). GeneCards database was used to obtain target genes of antivirus. The intersection method was used to obtain the target genes related to the antiviral effect of Shengjiang San. Cytoscape 3.7.2 software was applied for the construction of prescription-CMM-targets (genes) networks. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and gene ontology (GO) functional enrichment analysis were performed by R language to predict the potential mechanism of Shengjiang San against the virus. TCMSP, CNKI and PubChem databases were used to retrieve the chemical components of B. bassiana, C. pustulata, C. longa and R. officinale in Shengjiang San. AutoDock Vina 1.1.2 was used for molecular docking to study the interactions of each chemical component with SARS-CoV-2 3CL hydrolase or angiotensin converting enzyme II (ACE2). Results: Shengjiang San could play an antiviral role through the corresponding 663 target genes. Top ten pathways were related to antivirus (P < 0.01) in the KEGG pathway enrichment screening, including influenza A, etc. The affinity values of a total of 133 compounds in Shengjiang San were < -29.3 kJ/mol for molecular docking with SARS-CoV-2 3CL hydrolase. The affinity values of 145 compounds for molecular docking with ACE2 were < -29.3 kJ/mol. Conclusion: Shengjiang San could regulate multiple signaling pathways to inhibit virus, and have a potential inhibiting effect on SARS-Cov-2.
ABSTRACT
Objective: To explore the effective chemical constituents of Jinhua Qinggan Granules for treatment of coronavirus disease 2019 (COVID-19). Methods: The compounds and action targets of eleven herbal medicines in Jinhua Qinggan Granules were collected via TCMSP. The genes corresponding to the targets were queried by the UniProt database, then the “herbal medicine-compound-target” network was established by Cytoscape software. The gene ontology (GO) function enrichment analysis and KEGG pathway enrichment analysis were performed by DAVID to predict their mechanism. Molecular docking was used to analyze the binding force of the core effective compounds in the “herbal medicine-compound-target” network with SARS-CoV-2 3CL hydrolase and angiotensin converting enzyme II (ACE2). Results: The “herbal medicine-compound-target” network contained 154 compounds and 276 targets, and the key targets involved PTGS2, HSP90AB1, HSP90AA1, PTGS1, NCOA2, etc. GO function enrichment analysis revealed 278 items, including ATP binding, transcription factor activation and regulation of apoptosis process, etc. KEGG pathway enrichment screened 127 signaling pathways, including TNF, PI3K/Akt and HIF-1 signaling pathways related to lung injury protection. The results of molecular docking showed that formononetin, stigmasterol, beta-sitosterol, anhydroicaritin and other key compounds have a certain degree of affinity with SARS-CoV-2 3CL hydrolase and ACE2. Conclusion: The effective compounds in Jinhua Qinggan Granules regulate multiple signaling pathways via binding ACE2 and acting on targets such as PTGS2, HSP90AB1, HSP90AA1, PTGS1, NCOA2 for the prevention of COVID-19.
ABSTRACT
Objective: To explore the potential mechanism of Bufei Huoxue Capsule (BHC) on coronavirus disease 2019 (COVID-19), and provide a theoretical basis for the clinical application of BHC. Methods: TCMSP, BATMAN-TCM, CNKI and Pubmed databases were used to search the compounds and targets of BHC and GeneCards database was used to search the targets of COVID-19; The intersection method was used to obtain the targets related to the therapeutic effect of BHC. Cytoscape 3.7.2 software was applied for the construction of CMM-compounds-targets network map. Protein-protein interaction (PPI) network was constructed by STRING database. Gene ontology (GO) functional enrichment analysis and KEGG pathway enrichment analysis were conducted by DAVID. AutoDock Tools 1.5.6 and AutoDock vina 1.1.2 were used for molecular docking. Results: A total of 32 potential active components were screened from BHC, corresponding to 203 targets. Among them, there were 11 core compounds and 52 core targets. PPI network analysis showed that there were 25 key targets intervening COVID-19 by BHC. A total of 251 biological processes (P < 0.05) and 93 pathways (P < 0.05) were obtained by GO analysis and KEGG analysis, respectively. The results of molecular docking showed that the key compounds had good affinity with SARS-CoV-2 3CL hydrolase and angiotensin converting enzyme II. Conclusion: The active compounds of BHC can target IL6, MAPK8, PTGS2, PTGS1 and NCOA2 to regulate multiple signal pathways, and play a therapeutic role in the recovery period of COVID-19.
ABSTRACT
@#To investigate the material basis and mechanism of Liupao tea on preventing COVID-19 by network pharmacology and molecular docking.The active ingredients and targets of Liupao tea were searched through the literature and the TCMSP databases and the network between the two was built by Cytoscape 3.7.1.Then using GenCards platform to predict the disease targets,mapping the common targets between Liupao tea and disease.The common targets were imported into the STRING database for exploring the protein-protein interaction.Core targets were enriched by gene ontology (GO) enrichment analysis and KEGG (kyoto encyclopedia of genes and genomes) pathway enrichment analysis using DAVID database etc..Finally,the screened active components were docked with the receptor protein SARS-CoV-2 3CL hydrolase (Mpro).Six active ingredients of Liupao tea were screened,such as (-)-epigallocatechin gallate (EGCG),(+)-catechin,(-)-catechin gallate,α-spinasterol,pelargonidin chloride and squalene,and 156 targets were identified.Among them,there were 112 common targets and 38 core targets with COVID-19.GO enrichment analysis (P<0.01) involved lipopolysaccharide,cell response to hypoxia,etc..And the KEGG pathway enrichment analysis (P<0.01)was conducted to obtain the HIF-1,IL-17,T cell receptor and other signaling pathways associated with COVID-19.The results of molecular docking showed that the active ingredients of Liupao tea were well bound to the receptor protein Mpro.The active ingredients of Liupao tea may control HIF-1,IL-17,T cell receptors signaling pathways by binding Mpro hydrolase and acting on inflammation and immune related targets such as MAPK1,TNF to prevent COVID-19.The EGCG of Mpro activity was determined ,and the IC50 was 3.4 μmol/L,which confirmed that EGCG was a certain inhibition effect on Mpro.