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抑制组织血型抗原结合作为阻断诺如病毒感染的新策略。

Inhibition of histo-blood group antigen binding as a novel strategy to block norovirus infections.

机构信息

Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.

出版信息

PLoS One. 2013 Jul 19;8(7):e69379. doi: 10.1371/journal.pone.0069379. Print 2013.

Abstract

Noroviruses (NoVs) are the most important viral pathogens that cause epidemic acute gastroenteritis. NoVs recognize human histo-blood group antigens (HBGAs) as receptors or attachment factors. The elucidation of crystal structures of the HBGA-binding interfaces of a number of human NoVs representing different HBGA binding patterns opens a new strategy for the development of antiviral compounds against NoVs through rational drug design and computer-aided virtual screening methods. In this study, docking simulations and virtual screening were used to identify hit compounds targeting the A and B antigens binding sites on the surface of the capsid P protein of a GII.4 NoV (VA387). Following validation by re-docking of the A and B ligands, these structural models and AutoDock suite of programs were used to screen a large drug-like compound library (derived from ZINC library) for inhibitors blocking GII.4 binding to HBGAs. After screening >2 million compounds using multistage protocol, 160 hit compounds with best predicted binding affinities and representing a number of distinct chemical classes have been selected for subsequent experimental validation. Twenty of the 160 compounds were found to be able to block the VA387 P dimers binding to the A and/or B HBGAs at an IC50<40.0 µM, with top 5 compounds blocking the HBGA binding at an IC50<10.0 µM in both oligosaccharide- and saliva-based blocking assays. Interestingly, 4 of the top-5 compounds shared the basic structure of cyclopenta [a] dimethyl phenanthren, indicating a promising structural template for further improvement by rational design.

摘要

诺如病毒(NoV)是引起暴发急性肠胃炎的最重要的病毒病原体。NoV 以人类组织血型抗原(HBGAs)作为受体或附着因子。阐明了代表不同 HBGA 结合模式的多种人类 NoV 的 HBGA 结合界面的晶体结构,为通过合理药物设计和计算机辅助虚拟筛选方法开发抗 NoV 的抗病毒化合物开辟了新的策略。在这项研究中,对接模拟和虚拟筛选用于鉴定针对 GII.4 NoV(VA387)衣壳 P 蛋白表面 A 和 B 抗原结合位点的命中化合物。在用 A 和 B 配体重新对接验证后,这些结构模型和 AutoDock 套件程序被用于筛选一个大型的类药性化合物库(源自 ZINC 库),以寻找阻止 GII.4 与 HBGAs 结合的抑制剂。使用多阶段方案筛选 >200 万个化合物后,选择了 160 个具有最佳预测结合亲和力的命中化合物,代表了许多不同的化学类别,用于后续的实验验证。在 160 种化合物中,有 20 种化合物能够以 IC50<40.0 µM 的浓度阻断 VA387 P 二聚体与 A 和/或 B HBGAs 的结合,其中前 5 种化合物以 IC50<10.0 µM 的浓度在寡糖和唾液基础阻断测定中阻断 HBGA 结合。有趣的是,前 5 种化合物中有 4 种具有环戊[a]二甲菲的基本结构,这表明通过合理设计进一步改进具有很大的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9121/3716607/e3b7aa26b044/pone.0069379.g001.jpg

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