首页|期刊导航|实用中医内科杂志|基于逆向网络药理学及分子对接探讨人偏肺病毒感染的发病机制及中药组方预测

基于逆向网络药理学及分子对接探讨人偏肺病毒感染的发病机制及中药组方预测OA

Explore the Pathogenesis of Human Metapneumovirus Infection and Predict Traditional Chinese Medicine Formulas Based on Reverse Network Pharmacology and Molecular Docking

中文摘要英文摘要

目的 探究人偏肺病毒感染的发病机制,并基于逆向网络药理学思维对其进行中药组方预测.方法 于Gene-cards 数据库和OMIM数据库中获取人偏肺病毒的靶点,将所得靶点导入STRING数据库构建蛋白互作网络,利用Cyto-scape 3.9.0软件结合R软件获得关键靶点.根据GO和KEGG富集分析明确其发病机制与通路.根据度值选取核心靶点,通过Uniprot数据库将核心靶点转换后于traditional Chinese medicine SP数据库逆向收集中药成分及中药.使用Cy-toscape 3.9.0软件构建关键靶点-有效成分-中药网络关系图.利用STBYL-2.0软件将核心靶点与核心成分进行分子对接验证,最后确定度值较高中药并分析整理其性、味、归经.结果 共获取人偏肺病毒靶点209个,根据度值得到26个关键靶点.GO富集分析主要得出1866个条目,KEGG富集分析显示88条信号通路.根据度值选取的8个核心靶点于traditional Chinese medicine SP数据库中共匹配到29种入血成分及298种中药.将8个核心靶点蛋白与度值较高的4种核心成分进行分子对接验证,结果稳定且良好.整理度值≥10的中药共69种,主要为苦参、连翘、余甘子、半枝莲、木蝴蝶、银杏叶等,以寒性药、苦味药居多,其次为温性药、辛味药,并且肝、肺二经居多.结论 运用逆向网络药理学思维及分子对接技术对人偏肺病毒进行靶点、通路、成分和中药预测,为临床治疗及研究提供新思路和理论依据.

Objective To explore the pathogenesis of human metapneumovirus infection and predict the traditional Chinese medicine formulas for it based on the thinking of reverse network pharmacology.Methods The targets of HMPV were obtained from the Genecards database and the OMIM database.The obtained targets were imported into the STRING database to construct a pro-tein-protein interaction network.Key targets were obtained by combining the Cytoscape 3.9.0 software with the R software.The pathogenesis and pathways were clarified through Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.Core targets were selected according to the degree value.After converting the core targets through the Uniprot database,traditional Chinese medicine ingredients and traditional Chinese medicines were collected in reverse from the traditional Chinese medicine SP database.The Cytoscape 3.9.0 software was used to construct a network relationship diagram of key targets-active ingredients-traditional Chinese medicines.The STBYL-2.0 software was used to conduct molecular docking verifi-cation between the core targets and core ingredients.Finally,traditional Chinese medicines with relatively high degree values were determined,and their properties,tastes,and meridian tropisms were analyzed and sorted out.Results A total of 209 targets of HMPV were obtained,and 26 key targets were obtained according to the degree value.The GO enrichment analysis mainly yielded 1,866 entries,and the KEGG enrichment analysis showed 88 signaling pathways.A total of 29 blood-entering ingredients and 298 traditional Chinese medicines were matched in the traditional Chinese medicine SP database for the 8 core targets selected ac-cording to the degree value.Molecular docking verification was carried out between the 8 core target proteins and 4 core ingredi-ents with relatively high degree values,and the results were stable and good.A total of 69 traditional Chinese medicines with a de-gree value ≥ 10 were sorted out,mainly including Sophorae Flavescentis Radix,Forsythiae Fructus,Phyllanthi Emblicae Fructus,Scutellariae Barbatae Herba,Oroxylum Indicum(L.)Kurz,Ginkgo Biloba Folium,etc.Most of them were cold-natured and bit-ter-tasting herbs,followed by warm-natured and pungent-tasting herbs,and most of them were related to the liver and lung meridians.Conclusions Using the thinking of reverse network pharmacology and molecular docking technology to predict the tar-gets,pathways,ingredients,and traditional Chinese medicines for HMPV provides new ideas and a theoretical basis for clinical treatment and research.

宋雨檬;赵克明;杨闯;张智博;丁莉莉

辽宁中医药大学,辽宁沈阳 110847辽宁中医药大学附属医院,辽宁沈阳 110032辽宁中医药大学附属医院,辽宁沈阳 110032辽宁中医药大学附属医院,辽宁沈阳 110032辽宁中医药大学附属医院,辽宁沈阳 110032

医药卫生

人偏肺病毒感染中药组方预测逆向网络药理学分子对接

human metapneumovirus infectionprediction of traditional chinese medicine formulasreverse network pharma-cologymolecular docking

《实用中医内科杂志》 2026 (1)

37-40,后插1-后插8,12

国家中医药管理局科技项目(2023ZYCYJ05-02)

10.13729/j.issn.1671-7813.Z25032301

评论