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Exploring the bioactive compounds of Feiduqing formula for the prevention and management of COVID-19 through network pharmacology and molecular docking
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作者 Shuang-Lin Qin Hui Yao +5 位作者 Ting Huang Hong-Fei Yang Ting-Ting Ge Jie-Qiong wang wei-wu wang Qing Min 《Medical Data Mining》 2024年第1期16-23,共8页
Background:To explore the effective chemical constituents of Feiduqing formula for prevention and treatment of coronavirus disease 2019(COVID-19).Methods:The compounds and action targets of twelve herbal medicines in ... Background:To explore the effective chemical constituents of Feiduqing formula for prevention and treatment of coronavirus disease 2019(COVID-19).Methods:The compounds and action targets of twelve herbal medicines in Feiduqing formula were collected via Traditional Chinese Medicine Systems Pharmacology Database and Analytic Platform.The genes corresponding to the targets were queried through the UniProt database.The“herbal medicine-ingredient-target”network was established by Cytoscape software.The Gene Ontology function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed by Database for Annotation,Visualization and Integrated Discovery.Molecular docking was used to analyze the binding force of core active compounds of Feiduqing formula with PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and angiotensin converting enzyme II(ACE2).Results:The“herbal medicine-ingredient-target”network included 434 nodes and 1948 edges,including 222 components such as quercetin,kaempferol,luteolin,etc.The key targets are PTGS2,HSP90AA1,PTGS1,ESR1,AR,NOS2,etc.Gene Ontology function enrichment analysis revealed 2530 items,including RNA polymerase II-specific,response to oxidative stress,transcription factor activity,etc.Kyoto Encyclopedia of Genes and Genomes pathway enrichment screened 169 signal pathways,including Human cytomegalovirus infection,Kaposi sarcoma-associated herpesvirus infection,Hepatitis B,Hepatitis C,IL-17,TNF,etc.The results of molecular docking showed that quercetin,luteolin,β-sitosterol,stigmasterol and other core active compounds have a certain degree of affinity with PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and ACE2.Conclusion:The active compounds of Feiduqing formula may have a therapeutic effect on COVID-19 pneumonia through the action on PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and ACE2,and regulating many signaling pathways. 展开更多
关键词 Feiduqing formula COVID-19 network pharmacology molecular docking SARS-CoV-23CL hydrolase
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基于人工神经网络的胃食管反流病治疗方案优选及MATLAB实现(英文) 被引量:1
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作者 wei-wu wang Rui-Qing NI +2 位作者 Fang-Yan YU Guo-Feng LOU 赵彩丹 《Digital Chinese Medicine》 2018年第1期47-55,共9页
目的利用人工神经网络模拟建立智能中医治疗系统,用于胃食管返流病的治疗方案优选。方法本文采用人工神经网络进行机器学习,通过系统学习古代文献对于胃食管返流病相关症状的治疗方案,对临床辨证施治过程进行模拟,并取病例模拟进行了客... 目的利用人工神经网络模拟建立智能中医治疗系统,用于胃食管返流病的治疗方案优选。方法本文采用人工神经网络进行机器学习,通过系统学习古代文献对于胃食管返流病相关症状的治疗方案,对临床辨证施治过程进行模拟,并取病例模拟进行了客观的验证。结果机器处方与古文献符合度高达95%以上;结论机器学习用于中医智能处方切实可行,值得进一步深入研究。 展开更多
关键词 人工智能 中医专家系统 胃食管返流病 人工神经网络 MATLAB
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