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    題名: 以虛擬篩選方法針對H1N1設計雙重抑制劑
    Virtual screening and drug design for H1N1 dual-target inhibitors
    作者: 黃泓縉;Hung-Jin Huang
    貢獻者: 生命科學院生物科技學系碩士班
    關鍵詞: 血球凝集素;神經氨酸酶分子對接;構效關係;分子動力模擬;hemagglutinin;neuraminidase;docking;quantitative structure-activity relationship;molecular dynamics simulations
    日期: 2010
    上傳時間: 2010-09-29 12:06:41 (UTC+8)
    摘要: 血球凝集素及神經氨酸酶為流感病毒株表面上兩種主要的醣蛋白,此類的醣蛋白皆為抑制病毒侵犯宿主的治療目標。自2009年,許多報導指出H1N1流感病毒的大流行,另外抗藥性的問題也越來越被重視。因此,本研究的目的在於設計出針對病毒株兩種主要的醣蛋白具有雙重抑制效果的新穎藥物。在實驗中,以基於結構設計藥物與配體設計藥物的方式來分析目標蛋白與配體之間的作用關係,並以分子動力的方式了解受體與配體的作用。新型的H1N1表面醣蛋白之三維結構利用同源模擬的技術建構,所建立的三維結構用於篩選TCM資料庫。分子對接的結果中,根據H1及N1的Dock Score總和做排序並與克流感及瑞樂莎做比較,挑選出前10名候選的化合物。這10個化合物的對接結果提出五個主要的特性,在構效關係的模組中皆符合力場、電性、氫鍵受體與供體的性質,而這些特性也符合H1及N1的胺基酸。最後在20ns的模擬過程上,發現到2-aminopyridinium基團在鍵結方面演著重要的特性。基於結構設計藥物與配體設計藥物的方式,除了能提供對H1及N1在藥物設計上的資訊外,所挑選出化合物也於日後的藥物發展上可被建議為抑制流感病毒的藥物。

    Influenza viruses contain two major surface glycoproteins, hemagglutinin and neuraminidase, which are therapeutic targets for inhibiting influenza viruses from infecting host cell. Pandemic of H1N1/09 virus has been reported, and drug resistance was regarded as an important issue since 2009. Thus, the purpose of this research is to design novel potent dual inhibitors for the two surface glycoproteins on H1N1 virus. In this study, structure-based and ligand-based drug designs were performed to analyze interactions between target proteins and ligands, and molecular dynamics (MD) simulations were carried out to analyze the interaction of receptor-ligand complexes. Potent derivatives from structure-based design were ranked by sum of DockScore of two target proteins (H1 and N1) and were compared with Tamiflu (Oseltamivir) and Relenza (Zanamivir) to select the top 10 candidates. Among the scaffold of top 10 candidates, five key features were recognized for binding to H1 and N1. In quantitative structure-activity relationship models, these features were able to fit with their steric, electrostatic, hydrogen bond acceptor and donor fields. These fields were close to key residues of H1 and N1 binding site. Finally, 2-aminopyridinium group was noticed to play an important role in binding ability during 20ns MD simulations. From structure-based and ligand-based designs, we hope that we provided useful information for designing anti-viral compounds targeting H1 and N1, and we recommend the top 10 candidates from our experiments for further drug development testing.
    顯示於類別:[生物科技學系暨碩士班] 博碩士論文

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