莲子心生物碱治疗新型冠状病毒肺炎的网络药理学与分子对接分析
首发时间:2026-04-17
摘要:莲子心生物碱(PNA)是莲(Nelumbo nucifera)的主要活性成分,已被证实具有抗炎和抗病毒特性,是潜在的新型冠状病毒肺炎(COVID-19)治疗候选药物。通过多个数据库筛选 PNA 的蛋白靶点,使用 Cytoscape 构建化合物 - 靶点网络;在 Genecards 数据库中检索 COVID-19 相关疾病靶点,分析化合物靶点与疾病靶点的交集;利用 STRING 数据库构建蛋白质 - 蛋白质相互作用(PPI)网络,随后进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析;通过分子对接和 MM/GBSA 模拟评估活性化合物与关键靶点的结合亲和力。共鉴定出 PNA 的 6 个关键靶点,包括 ACE2、TMPRSS2、DPP4、AKT1、JAK1 和 MAPK1,这些靶点参与 AGE-RAGE、PI3K-Akt、TNF、MAPK、Toll 样受体、JAK-STAT 等信号通路;分子对接和 MM/GBSA 分析证实 PNA 化合物与上述靶点存在稳定的结合相互作用。本研究阐明了 PNA 干预 COVID-19 的分子机制,明确了 ACE2、TMPRSS2、DPP4、AKT1、JAK1、MAPK1 等关键靶点。研究结果为 PNA 的治疗潜力后续研究奠定了基础,也为靶向 COVID-19 相关蛋白的化合物研发提供了指导。
关键词: 莲子心生物碱 新型冠状病毒肺炎 网络药理学 信号通路 计算机辅助药物设计
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Network Pharmacology and Molecular Docking Analysis of Plumula Nelumbinis Alkaloids as Potential Therapeutics for COVID-19
Abstract:Peanut alkaloid (PNA), the main active component of Nelumbo nucifera (lotus), has been demonstrated to possess anti-inflammatory and antiviral properties, making it a potential therapeutic candidate for coronavirus disease 2019 (COVID-19). Protein targets of PNA were screened through multiple databases, and a compound-target network was constructed using Cytoscape. COVID-19-related disease targets were retrieved from the Genecards database, and the intersection between compound targets and disease targets was analyzed. A protein-protein interaction (PPI) network was constructed using the STRING database, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The binding affinities between active compounds and key targets were evaluated through molecular docking and MM/GBSA simulations. Six key targets of PNA were identified, including ACE2, TMPRSS2, DPP4, AKT1, JAK1, and MAPK1, which are involved in signaling pathways such as AGE-RAGE, PI3K-Akt, TNF, MAPK, Toll-like receptor, and JAK-STAT. Molecular docking and MM/GBSA analyses confirmed stable binding interactions between PNA compounds and the aforementioned targets. This study elucidates the molecular mechanism of PNA in intervening against COVID-19 and identifies key targets including ACE2, TMPRSS2, DPP4, AKT1, JAK1, and MAPK1. The findings lay a foundation for subsequent research on the therapeutic potential of PNA and provide guidance for the development of compounds targeting COVID-19-related proteins.
Keywords: Plumula Nelumbinis Alkaloids COVID-19 Network pharmacology Signal pathway Computer-aided drug design
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莲子心生物碱治疗新型冠状病毒肺炎的网络药理学与分子对接分析
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