Background:The threat of avian influenza a subtype avian influenza A(H9N2)virus remains a significant concern,necessitating the exploration of novel antiviral agents.This study employs network pharmacology and computa...Background:The threat of avian influenza a subtype avian influenza A(H9N2)virus remains a significant concern,necessitating the exploration of novel antiviral agents.This study employs network pharmacology and computational analysis to investigate the potential of kuwanons,a natural compounds against H9N2 influenza virus.Methods:Leveraging comprehensive databases and bioinformatics tools,we elucidate the molecular mechanisms underlying Kuwanons pharmacological effects against H9N2 influenza virus.Network pharmacology identifies H9N2 influenza virus targets and compounds through integrated protein-protein interaction and Kyoto Encyclopedia of Genes and Genomes analyses.Molecular docking studies were performed to assess the binding affinities and structural interactions of Kuwanon analogues with key targets,shedding light on their potential inhibitory effects on viral replication and entry.Results:Compound-target network analysis revealed complex interactions(120 nodes,163 edges),with significant interactions and an average node degree of 2.72.Kyoto Encyclopedia of Genes and Genomes analysis revealed pathways such as Influenza A,Cytokine-cytokine receptor interaction pathway in H9N2 influenza virus.Molecular docking studies revealed that the binding free energy for the docked ligands ranged between-5.2 and-9.4 kcal/mol for the human interferon-beta crystal structure(IFNB1,Protein Data Bank:1AU1)and-5.4 and-9.6 kcal/mol for Interleukin-6(IL-6,PDB:4CNI).Conclusion:Our findings suggest that kuwanon exhibits promising antiviral activity against H9N2 influenza virus by targeting specific viral proteins,highlighting its potential as a natural therapeutic agent in combating avian influenza infections.展开更多
Background:Global efforts to discover effective therapeutic agents for combating coronavirus disease 19(COVID-19)have intensified the exploration of natural compounds with potential antiviral properties.In this study,...Background:Global efforts to discover effective therapeutic agents for combating coronavirus disease 19(COVID-19)have intensified the exploration of natural compounds with potential antiviral properties.In this study,we utilized network pharmacology and computational analysis to investigate the antiviral effects of Berberine and Kuwanon Z against severe acute respiratory syndrome coronavirus 2,the viruses responsible for COVID-19.Method:Utilizing comprehensive network pharmacology approaches,we elucidated the complex interactions between these compounds and the host biological system,highlighting their multitarget mechanisms.Network pharmacology identifies COVID-19 targets and compounds through integrated protein‒protein interaction and KEGG pathway analyses.Molecular docking simulation studies were performed to assess the binding affinities and structural interactions of Berberine and Kuwanon Z with key viral proteins,shedding light on their potential inhibitory effects on viral replication and entry.Results:Network-based analyses revealed the modulation of crucial pathways involved in the host antiviral response.Compound-target network analysis revealed complex interactions(122 nodes,121 edges),with significant interactions and an average node degree of 1.37.KEGG analysis revealed pathways such as the COVID-19 pathway,chemokines and Jak-sat in COVID-19.Docking studies revealed that Kuwanon Z had binding energies of-10.5 kcal/mol for JAK2 and-8.1 kcal/mol for the main protease.Conclusion:The findings of this study contribute to the understanding of the pharmacological actions of Berberine and Kuwanon Z in the context of COVID-19,providing a basis for further experimental validation.These natural compounds exhibit promise as potential antiviral agents,offering a foundation for the development of novel therapeutic strategies in the ongoing battle against the global pandemic.展开更多
桑树(Morus alba L.)根的乙醇浸膏具有抑制蛋白激酶C(PKC)的活性,从中分得的二种二苯乙烯类衍生物:oxyresveratrol和kuwanon Y对PKC的半抑制浓度IC_(50)分别为48μmol·L^(-1)和15μmol·L^(-1)。酶动力学研究显示,oxyresverat...桑树(Morus alba L.)根的乙醇浸膏具有抑制蛋白激酶C(PKC)的活性,从中分得的二种二苯乙烯类衍生物:oxyresveratrol和kuwanon Y对PKC的半抑制浓度IC_(50)分别为48μmol·L^(-1)和15μmol·L^(-1)。酶动力学研究显示,oxyresveratrol对PKC的抑制属于非竞争性抑制。展开更多
文摘Background:The threat of avian influenza a subtype avian influenza A(H9N2)virus remains a significant concern,necessitating the exploration of novel antiviral agents.This study employs network pharmacology and computational analysis to investigate the potential of kuwanons,a natural compounds against H9N2 influenza virus.Methods:Leveraging comprehensive databases and bioinformatics tools,we elucidate the molecular mechanisms underlying Kuwanons pharmacological effects against H9N2 influenza virus.Network pharmacology identifies H9N2 influenza virus targets and compounds through integrated protein-protein interaction and Kyoto Encyclopedia of Genes and Genomes analyses.Molecular docking studies were performed to assess the binding affinities and structural interactions of Kuwanon analogues with key targets,shedding light on their potential inhibitory effects on viral replication and entry.Results:Compound-target network analysis revealed complex interactions(120 nodes,163 edges),with significant interactions and an average node degree of 2.72.Kyoto Encyclopedia of Genes and Genomes analysis revealed pathways such as Influenza A,Cytokine-cytokine receptor interaction pathway in H9N2 influenza virus.Molecular docking studies revealed that the binding free energy for the docked ligands ranged between-5.2 and-9.4 kcal/mol for the human interferon-beta crystal structure(IFNB1,Protein Data Bank:1AU1)and-5.4 and-9.6 kcal/mol for Interleukin-6(IL-6,PDB:4CNI).Conclusion:Our findings suggest that kuwanon exhibits promising antiviral activity against H9N2 influenza virus by targeting specific viral proteins,highlighting its potential as a natural therapeutic agent in combating avian influenza infections.
文摘Background:Global efforts to discover effective therapeutic agents for combating coronavirus disease 19(COVID-19)have intensified the exploration of natural compounds with potential antiviral properties.In this study,we utilized network pharmacology and computational analysis to investigate the antiviral effects of Berberine and Kuwanon Z against severe acute respiratory syndrome coronavirus 2,the viruses responsible for COVID-19.Method:Utilizing comprehensive network pharmacology approaches,we elucidated the complex interactions between these compounds and the host biological system,highlighting their multitarget mechanisms.Network pharmacology identifies COVID-19 targets and compounds through integrated protein‒protein interaction and KEGG pathway analyses.Molecular docking simulation studies were performed to assess the binding affinities and structural interactions of Berberine and Kuwanon Z with key viral proteins,shedding light on their potential inhibitory effects on viral replication and entry.Results:Network-based analyses revealed the modulation of crucial pathways involved in the host antiviral response.Compound-target network analysis revealed complex interactions(122 nodes,121 edges),with significant interactions and an average node degree of 1.37.KEGG analysis revealed pathways such as the COVID-19 pathway,chemokines and Jak-sat in COVID-19.Docking studies revealed that Kuwanon Z had binding energies of-10.5 kcal/mol for JAK2 and-8.1 kcal/mol for the main protease.Conclusion:The findings of this study contribute to the understanding of the pharmacological actions of Berberine and Kuwanon Z in the context of COVID-19,providing a basis for further experimental validation.These natural compounds exhibit promise as potential antiviral agents,offering a foundation for the development of novel therapeutic strategies in the ongoing battle against the global pandemic.
文摘桑树(Morus alba L.)根的乙醇浸膏具有抑制蛋白激酶C(PKC)的活性,从中分得的二种二苯乙烯类衍生物:oxyresveratrol和kuwanon Y对PKC的半抑制浓度IC_(50)分别为48μmol·L^(-1)和15μmol·L^(-1)。酶动力学研究显示,oxyresveratrol对PKC的抑制属于非竞争性抑制。
