University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland 20850, United States.
Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, United States.
J Med Chem. 2023 Feb 23;66(4):2744-2760. doi: 10.1021/acs.jmedchem.2c01750. Epub 2023 Feb 10.
Enveloped viruses depend on the host endoplasmic reticulum (ER) quality control (QC) machinery for proper glycoprotein folding. The endoplasmic reticulum quality control (ERQC) enzyme α-glucosidase I (α-GluI) is an attractive target for developing broad-spectrum antivirals. We synthesized 28 inhibitors designed to interact with all four subsites of the α-GluI active site. These inhibitors are derivatives of the iminosugars 1-deoxynojirimycin (1-DNJ) and valiolamine. Crystal structures of ER α-GluI bound to 25 1-DNJ and three valiolamine derivatives revealed the basis for inhibitory potency. We established the structure-activity relationship (SAR) and used the Site Identification by Ligand Competitive Saturation (SILCS) method to develop a model for predicting α-GluI inhibition. We screened the compounds against SARS-CoV-2 to identify those with greater antiviral activity than the benchmark α-glucosidase inhibitor UV-4. These host-targeting compounds are candidates for investigation in animal models of SARS-CoV-2 and for testing against other viruses that rely on ERQC for correct glycoprotein folding.
包膜病毒依赖于宿主内质网(ER)质量控制系统(QC)来正确折叠糖蛋白。内质网质量控制系统(ERQC)酶α-葡萄糖苷酶 I(α-GluI)是开发广谱抗病毒药物的有吸引力的靶标。我们合成了 28 种抑制剂,旨在与α-GluI 活性位点的所有四个亚位点相互作用。这些抑制剂是 1-去氧野尻霉素(1-DNJ)和沃利醇胺的衍生物。与 ER α-GluI 结合的 25 个 1-DNJ 和三个沃利醇胺衍生物的晶体结构揭示了抑制效力的基础。我们建立了结构-活性关系(SAR),并使用配体竞争性饱和的位点鉴定(SILCS)方法来开发预测α-GluI 抑制的模型。我们筛选了这些化合物对 SARS-CoV-2 的抗病毒活性,以鉴定出比基准α-葡萄糖苷酶抑制剂 UV-4 具有更高抗病毒活性的化合物。这些针对宿主的化合物是在 SARS-CoV-2 动物模型中进行研究以及针对其他依赖 ERQC 正确折叠糖蛋白的病毒进行测试的候选药物。