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Investigating the mechanism of Qing-Fei-Pai-Du-Tang for the treatment of Novel Coronavirus Pneumonia by network pharmacology

ZHAO Jing1 TIAN Sai-sai2 YANG Jian2 LIU Jian-feng3 ZHANG Wei-dong1,2

(1.Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China 201203)
(2.School of Pharmacy, Second Military Medical University, Shanghai, China 200433)
(3.Institute for the History of Chinese Medicine and Medical Literature, China Academy of Chinese Medical Sciences, Beijing, China 100700)

【Abstract】 Objective To collect main ingredients and targets of Qing-Fei-Pai-Du-Tang (QFPDT), and to investigate the relationship between the targets and novel coronavirus pneumonia (COVID-19) and the therapeutic mechanism of its multiple components on COVID-19 via multiple targets. Methods The meridian tropisms, compounds and targets of each herb in QFPDT were collected from ETCM, TCMID and NPASS databases. Cytoscape software was used to construct and analysis networks. DAVID and STRING were applied for functional enrichment analysis of targets. Results The herbs in QFPDT mainly acted on the lung meridian. Among QFPDT’s 790 putative targets, 232 were co-expressed with ACE2, the receptor of novel coronavirus (SARS-CoV-2). The targets included seven densely interacting ribosomal proteins. Important targets were enriched on two classes of disease pathways, namely, virus infection and lung injury. In addition, many targets interacted with six proteins of HIV virus. Important targets regulated a series of pathways responsible for translation, endocrine system, immune system, nervous system and signal transduction. Conclusion QFPDT’s chief targeting organ is the lung and the second is the spleen. By regulating a series of proteins co-expressed with ACE2 and a series of signaling pathways closely related to the occurrence and development of diseases, it plays a role in balancing immunity and eliminating inflammation. It may act as an antiviral agent by targeting ribosomal proteins that are necessary for viral replication, so as to inhibit viral mRNA translation and a group of proteins that interact with viral proteins.

【Keywords】 SARS-CoV-2; COVID-19; Qing-Fei-Pai-Du-Tang; network pharmacology; anti-virus; angiotensin-converting enzyme 2;


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    [1] National Health Commission of the People’s Republic of China. 关于印发新型冠状病毒肺炎诊疗方案(试行第五版修正版)的通知. (in Chinese).

    [2] National Health Commission of the People’s Republic of China and the National Administration of Traditional Chinese Medicine. 关于推荐在中西医结合救治新型冠状病毒感染的肺炎中使用“清肺排毒汤”的通知. (in Chinese).

    [3] National Administration of Traditional Chinese Medicine. 中医药有效方剂筛选研究取得阶段性进展. 2020-02-06 (in Chinese).

    [4] Hopkins A L. Network pharmacology: the next paradigm in drug discovery [J]. Nat Chem Biol, 2008, 4: 682–690.

    [5] Zhao J, Lv C, Wu Q, et al. Computational systems pharmacology reveals an antiplatelet and neuroprotective mechanism of Deng-Zhan-Xi-Xin injection in the treatment of ischemic stroke [J]. Pharmacol Res, 2019,147: 104365.

    [6] Xu H Y, Zhang Y Q, Liu Z M, et al. ETCM: An encyclopaedia of traditional Chinese medicine [J]. Nucleic Acids Res, 2018, 47: D976–D982.

    [7] Xue R, Fang Z, Zhang M, et al. TCMID: Traditional Chinese medicine integrative database for herb molecular mechanism analysis [J]. Nucl Acids Res, 2013, 41: D1089–D1095.

    [8] Zeng X, Zhang P, He W, et al. NPASS: Natural product activity and species source database for natural product research, discovery and tool development [J]. Nucl Acids Res, 2017, 46: D1217–D1222.

    [9] Shannon P, Markiel A, Ozier O, et al. Cytoscape: A software environment for integrated models of biomolecular interaction networks [J]. Genome Res, 2003,13: 2498–2504.

    [10] Das J, Yu H. HINT: High-quality protein interactomes and their applications in understanding human disease [J]. BMC Systems Biol, 2012, 6: 92.

    [11] Huang D W, Sherman B T, Lempicki R A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources [J]. Nat Protocol, 2008, 4: 44.

    [12] von Mering C, Jensen L J, Snel B, et al. STRING: known and predicted protein-protein associations, integrated and transferred across organisms [J]. Nucl Acids Res, 2005, 33: D433–7.

    [13] Wang J, Zhao S, Liu M, et al. ACE2 expression by colonic epithelial cells is associated with viral infection,immunity and energy metabolism [J]. Med Rxiv, 2020, doi: 10.1101/2020.02.05.20020545.

    [14] Li S. Regulation of Ribosomal Proteins on Viral Infection [J]. Cells, 2019, doi: 10.3390/cells8050508.

This Article


CN: 12-1108/R

Vol , No. 02, Pages


Article Outline


  • 1 Methods
  • 2 Results
  • 3 Discussion
  • References