4.1 Article

Exploration of Hanshi Zufei prescription for treatment of COVID-19 based on network pharmacology

期刊

CHINESE HERBAL MEDICINES
卷 14, 期 2, 页码 294-302

出版社

ELSEVIER SINGAPORE PTE LTD
DOI: 10.1016/j.chmed.2021.06.006

关键词

COVID-19; Hanshi Zufei prescription; molecular docking; network pharmacology; SARS-CoV-2

资金

  1. Research Foundation of Admin-istration of Traditional Chinese Medicine of Hebei Province [2018105]

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This study explores the molecular basis of the Hanshi Zufei formula for the treatment of COVID-19 using network pharmacology and molecular docking techniques. The results suggest that core compounds in the formula can regulate multiple signaling pathways by binding with target enzymes, potentially contributing to the treatment of COVID-19.
Objective: Network pharmacology combines drug and disease targets with biological information networks based on the integrity and systematicness of the interactions between drugs and disease targets. This study aims to explore the molecular basis of Hanshi Zufei formula for treatment of COVID-19 based on network pharmacology and molecular docking techniques.Methods: Using TCMSP, the chemical constituents and molecular targets of Atractylodis Rhizoma, Citri Reticulatae Pericarpium, Magnoliae Officinalis Cortex, Pogostemonis Herba, Tsaoko Fructus, Ephedrae Herba, Notopterygii Rhizoma et Radix, Zingiberis Rhizoma Recens, and Arecae Semen were investigated. The predicted targets of novel coronavirus were screened using the NCBI and GeneCards databases. To further screen the drug-disease core targets network, the corresponding target proteins were queried using multiple databases (Biogrid, DIP, and HPRD), a protein interaction network graph was constructed, and the network topology was analyzed. The molecular docking studies were also performed between the network's top 15 compounds and the coronavirus (SARS-CoV-2) 3CL hydrolytic enzyme and angiotensin conversion enzyme II (ACE2).Results: The herb-active ingredient-target network contained nine drugs, 86 compounds, and 49 drug disease targets. Gene ontology (GO) enrichment analysis resulted in 1566 GO items (P < 0.05), among which 1438 were biological process items, 35 were cell composition items, and 93 were molecular function items. Fourteen signal pathways were obtained by enrichment screening of the KEGG pathway database (P < 0.05). The molecular docking results showed that the affinity of the core active compounds with the SARS-CoV-2 3CL hydrolase was better than for the other compounds. Conclusion: Several core compounds can regulate multiple signaling pathways by binding with 3CL hydrolase and ACE2, which might contribute to the treatment of COVID-19.(c) 2022 Tianjin Press of Chinese Herbal Medicines. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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