Exploring the Molecular Mechanism of Niuxi-Mugua Formula in Treating Coronavirus Disease 2019 via Network Pharmacology, Computational Biology, and Surface Plasmon Resonance Verification.

Wei Wang, Xu Cao, Yi-Nan Cao, Lian-Lian Liu, Shu-Ling Zhang, Wen-Ying Qi, Jia-Xin Zhang, Xian-Zhao Yang, Xiao-Ke Li, Xiao-Bin Zao, Yong-An Ye
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Abstract

Background: In China, Niuxi-Mugua formula (NMF) has been widely used to prevent and treat coronavirus disease 2019 (COVID-19). However, the mechanism of NMF for treating COVID-19 is not yet fully understood.

Objective: This study aimed to explore the potential mechanism of NMF for treating COVID- 19 by network pharmacology, computational biology, and surface plasmon resonance (SPR) verification.

Materials and methods: The NMF-compound-target network was constructed to screen the key compounds, and the Molecular Complex Detection (MCODE) tool was used to screen the preliminary key genes. The overlapped genes (OGEs) and the preliminary key genes were further analyzed by enrichment analysis. Then, the correlation analysis of immune signatures and the preliminary key genes was performed. Molecular docking and molecular dynamic (MD) simulation assays were applied to clarify the interactions between key compounds and key genes. Moreover, the SPR interaction experiment was used for further affinity kinetic verification.

Results: Lipid and atherosclerosis, TNF, IL-17, and NF-kappa B signaling pathways were the main pathways of NMF in the treatment of COVID-19. There was a positive correlation between almost the majority of immune signatures and all preliminary key genes. The key compounds and the key genes were screened out, and they were involved in the main pathways of NMF for treating COVID-19. Moreover, the binding affinities of most key compounds binding to key genes were good, and IL1B-Quercetin had the best binding stability. SPR analysis further demonstrated that IL1B-Quercetin showed good binding affinity.

Conclusion: Our findings provided theoretical grounds for NMF in the treatment of COVID-19.

通过网络药理学、计算生物学和表面等离子体共振验证,探索牛西木瓜方治疗2019冠状病毒病的分子机制。
背景:在我国,牛西mugaa方已被广泛用于预防和治疗2019冠状病毒病(新冠肺炎)。然而,NMF治疗新冠肺炎的机制尚不完全清楚。目的:本研究旨在通过网络药理学、计算生物学和表面等离子体共振(SPR)验证,探讨NMF治疗新冠肺炎的潜在机制。方法:构建NMF化合物靶向网络筛选关键化合物,利用分子复合物检测(MCODE)工具初步筛选关键基因。通过富集分析进一步分析了重叠基因和初步关键基因。然后,进行免疫特征与初步关键基因的相关性分析。应用分子对接和分子动力学(MD)模拟分析来阐明关键化合物和关键基因之间的相互作用。此外,SPR相互作用实验用于进一步的亲和动力学验证。结果:脂质和动脉粥样硬化、TNF、IL-17和NF-kappa B信号通路是NMF治疗新冠肺炎的主要途径。几乎大多数免疫特征与所有初步关键基因之间存在正相关。筛选出关键化合物和关键基因,它们参与了NMF治疗新冠肺炎的主要途径。此外,大多数关键化合物与关键基因的结合亲和力良好,IL1B槲皮素的结合稳定性最好。SPR分析进一步证明IL1B槲皮素具有良好的结合亲和力。结论:我们的研究结果为NMF治疗新冠肺炎提供了理论依据19。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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