Lane Thomas R, Ekins Sean
Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
ACS Med Chem Lett. 2020 Jul 23;11(8):1653-1658. doi: 10.1021/acsmedchemlett.0c00298. eCollection 2020 Aug 13.
Pyronaridine, tilorone, and quinacrine were recently identified by a machine learning model and demonstrated and activity against Ebola virus (EBOV) and represent viable candidates for drug repurposing. The target for these molecules was previously unknown. These drugs have now been docked into the crystal structure of the ebola glycoprotein and then experimentally validated using microscale thermophoresis to generate values for tilorone (0.73 μM), pyronaridine (7.34 μM), and quinacrine (7.55 μM). These molecules were shown to bind with a higher affinity than the previously reported toremifene (16 μM). These three structures provide more insight into the structural diversity of ebola glycoprotein inhibitors which can be utilized in the discovery and design of additional inhibitors.
最近,通过机器学习模型鉴定出了咯萘啶、替洛隆和奎纳克林,它们对埃博拉病毒(EBOV)具有活性,是药物重新利用的可行候选药物。这些分子的靶点此前未知。现在已将这些药物对接至埃博拉糖蛋白的晶体结构中,然后通过微量热泳实验验证,得出替洛隆(0.73 μM)、咯萘啶(7.34 μM)和奎纳克林(7.55 μM)的解离常数。结果表明,这些分子的结合亲和力高于先前报道的托瑞米芬(16 μM)。这三种结构为埃博拉糖蛋白抑制剂的结构多样性提供了更多见解,可用于发现和设计其他抑制剂。