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Chemical composition and therapeutic mechanism of Xuanbai Chengqi Decoction in the treatment of COVID-19 by network pharmacology, molecular docking and molecular dynamic analysis.
Fan, Liming; Feng, Shuai; Wang, Ting; Ding, Xinli; An, Xinxin; Wang, Zhen; Zhou, Kun; Wang, Minjuan; Zhai, Xifeng; Li, Yang.
  • Fan L; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
  • Feng S; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
  • Wang T; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
  • Ding X; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
  • An X; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
  • Wang Z; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
  • Zhou K; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
  • Wang M; Physical and Chemical Laboratory, Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, 710054, China.
  • Zhai X; School of Pharmaceutical Sciences, Xi'an Medical University, Xi'an, 710021, China.
  • Li Y; Biomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China. ly2011@nwu.edu.cn.
Mol Divers ; 2022 Mar 08.
Article in English | MEDLINE | ID: covidwho-2229874
ABSTRACT
Xuanbai Chengqi Decoction (XBCQD), a classic traditional Chinese medicine, has been widely used to treat COVID-19 in China with remarkable curative effect. However, the chemical composition and potential therapeutic mechanism is still unknown. Here, we used multiple open-source databases and literature mining to select compounds and potential targets for XBCQD. The COVID-19 related targets were collected from GeneCards and NCBI gene databases. After identifying putative targets of XBCQD for the treatment of COVID-19, PPI network was constructed by STRING database. The hub targets were extracted by Cytoscape 3.7.2 and MCODE analysis was carried out to extract modules in the PPI network. R 3.6.3 was used for GO enrichment and KEGG pathway analysis. The effective compounds were obtained via network pharmacology and bioinformatics analysis. Drug-likeness analysis and ADMET assessments were performed to select core compounds. Moreover, interactions between core compounds and hub targets were investigated through molecular docking, molecular dynamic (MD) simulations and MM-PBSA calculations. As a result, we collected 638 targets from 61 compounds of XBCQD and 845 COVID-19 related targets, of which 79 were putative targets. Based on the bioinformatics analysis, 10 core compounds and 34 hub targets of XBCQD for the treatment of COVID-19 were successfully screened. The enrichment analysis of GO and KEGG indicated that XBCQD mainly exerted therapeutic effects on COVID-19 by regulating signal pathways related to viral infection and inflammatory response. Meanwhile, the results of molecular docking showed that there was a stable binding between the core compounds and hub targets. Moreover, MD simulations and MM-PBSA analyses revealed that these compounds exhibited stable conformations and interacted well with hub targets during the simulations. In conclusion, our research comprehensively explained the multi-component, multi-target, and multi-pathway intervention mechanism of XBCQD in the treatment of COVID-19, which provided evidence and new insights for further research.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Traditional medicine Language: English Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: S11030-022-10415-7

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Full text: Available Collection: International databases Database: MEDLINE Topics: Traditional medicine Language: English Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: S11030-022-10415-7