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针对 H1N1 病毒,从世界上最大的中药数据库中进行筛选。

Screening from the world's largest TCM database against H1N1 virus.

机构信息

Laboratory of Computational and Systems Biology, School of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.

出版信息

J Biomol Struct Dyn. 2011 Apr;28(5):773-86. doi: 10.1080/07391102.2011.10508605.

Abstract

The swine influenza virus (H1N1) 2009 pandemic highlights the importance of having effective anti-viral strategies. Recently, oseltamivir (Tamiflu) resistant influenza viruses are identified; which further emphasizes the urgency in developing new antiviral agents. In influenza virus replication cycle, viral surface glycoprotein, hemagglutinin, is responsible for viral entry into host cells. Hence, a potentially effective antiviral strategy is to inhibit viral entry mechanism. To develop novel antiviral agent that inhibits viral entry, we analyzed 20,000 traditional Chinese medicine (TCM) ingredients in hemagglutinin subtype H1 sialic acid binding site found on H1N1 virus. We then performed molecular dynamics simulations to investigate receptor-ligand interaction of the candidates obtained from docking. Here, we report three TCM derivatives that have high binding affinities to H1 sialic acid binding site residues based on structure-based calculations. The top three derivatives, xylopine_2, rosmaricine_14 and rosmaricine_15, all have an amine group that interact with Glu83 and a pyridinium group that interact with Asp103. Molecular dynamics simulations show that these derivatives form strong hydrogen bonding with Glu83 but interact transiently with Asp103. We therefore suggest that an enhanced hemagglutinin inhibitor, based on our scaffold, should be designed to bind both Glu83 and Asp103 with high affinity.

摘要

猪流感病毒(H1N1)2009 年大流行凸显了拥有有效抗病毒策略的重要性。最近,已鉴定出对奥司他韦(达菲)有抗药性的流感病毒;这进一步强调了开发新抗病毒药物的紧迫性。在流感病毒复制周期中,病毒表面糖蛋白血凝素负责病毒进入宿主细胞。因此,一种潜在有效的抗病毒策略是抑制病毒进入机制。为了开发抑制病毒进入的新型抗病毒药物,我们分析了血凝素亚型 H1 上的 20000 种中药(TCM)成分在 H1N1 病毒中的唾液酸结合位点。然后,我们进行了分子动力学模拟,以研究从对接中获得的候选物的受体 - 配体相互作用。在这里,我们根据结构计算报告了三种与基于结构的 H1 唾液酸结合位点残基具有高结合亲和力的 TCM 衍生物。排名前三的衍生物,木兰花碱_2、迷迭香碱_14 和迷迭香碱_15,都有一个与 Glu83 相互作用的氨基和一个与 Asp103 相互作用的吡啶基。分子动力学模拟表明,这些衍生物与 Glu83 形成强氢键,但与 Asp103 短暂相互作用。因此,我们建议设计基于我们支架的增强型血凝素抑制剂,以高亲和力结合 Glu83 和 Asp103。

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