Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation Studies of the Molecular Targets and Mechanisms of ChuanKeZhi in the Treatment of COVID-19

Author:

Yuan Jiaying1,Zhu Yiqing2,Zhao Jiayi34,Li Li1,Zhu Chengjie15,Chen Mingxia6,Zhang Yi3,Shang Yan13ORCID

Affiliation:

1. Department of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital (the First Affiliated Hospital of Naval Military Medical University), Shanghai, China

2. Department of Medical Genetics, Naval Military Medical University (Second Military Medical University), Shanghai, China

3. Department of General Medicine, Shanghai Changhai Hospital (the First Affiliated Hospital of Naval Military Medical University), Shanghai China

4. Department of General Practice, China Rongtong Medical Healthcare Group Co., Ltd., Shanghai, China

5. Chinese People's Liberation Army 94804 Army Health Team, Shanghai, China

6. Department of Traditional Chinese Medicine, Shanghai Changhai Hospital (the First Affiliated Hospital of Naval Military Medical University), Shanghai, China

Abstract

Objectives: Coronavirus disease 2019 (COVID-19) has had a global impact and is spreading quickly. ChuanKeZhi injection (CKZI) is widely used in asthma patients. In this paper, we aimed to explore active compounds of CKZ and determine potential mechanisms against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through network pharmacology, molecular docking and dynamic simulation studies. Materials and Methods: We used the Systematic Pharmacology Database and Analysis Platform of Traditional Chinese Medicine (TCMSP) to screen active compounds and potential target proteins of CKZ. COVID-19 target genes were screened via the American National Center for Biotechnology Information (NCBI) gene database and human gene database (GeenCards). The protein interaction network was constructed by the Protein Interaction Network Database (Search Tool for the Retrieval of Interacting Genes/Proteins (STRING)) platform. GO enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by the Metascape database. The main active compounds of CKZ were docked with angiotensin-converting enzyme 2 (ACE2), spike protein S1, and SARS-CoV-2-3CL pro and also docked with hub targets. We performed molecular dynamics (MD) simulation studies for validation. Results: We finally obtained 207 CKZ potential targets and 4681 potential COVID-19 targets. Key targets included mainly AKT1, TNF, IL6, VEGFA, IL1B, TP53, JUN, CASP3, etc. There were 217 Gene Ontology (GO) items in the GO enrichment analysis ( p < 0.05). The main KEGG pathways included the advanced glycation end products (AGE)- receptor for AGE (RAGE) signalling pathway in diabetic complications, rheumatoid arthritis, chemical carcinogenesis-receptor activation, alcoholic liver disease, etc. Molecular docking and dynamics simulation studies both exhibited great binding capacity. Conclusions: Network pharmacology, molecular docking and dynamics simulation studies were used to identify the potential and key targets, pharmacological functions, and therapeutic mechanisms of CKZI in the treatment of COVID-19. CKZI may be an effective and safe drug in COVID-19 treatment. However, further work is needed for validation.

Funder

Shanghai Changhai Hospital Scientific Research Fund

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Complementary and alternative medicine,Plant Science,Drug Discovery,Pharmacology,General Medicine

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