虚拟筛选
结合亲和力
对接(动物)
分子动力学
化学
计算生物学
癌症研究
药品
药物发现
生物化学
组合化学
药理学
生物
医学
计算化学
受体
护理部
作者
Lijun Feng,Chuance Sun,Xiaohua Sun,Yang Zhao,Rilei Yu,Congmin Kang
标识
DOI:10.1080/10799893.2020.1825493
摘要
The treatment of ccRCC by targeting hypoxia-inducible factor HIF-2α is currently a direct and effective method. Studies have shown that HIF-2α and c-Myc cooperate to promote ccRCC tumor progression, and the overexpression of c-Myc is related to the progress and drug resistance of most human cancers. Although HIF-2α and c-Myc are important drug targets, their dual inhibitors are still lacking. We used virtual screening tools (mainly including molecular docking and MM-GBSA technology) to obtain some well-listed compounds that can potentially target HIF-2α and c-Myc and used molecular dynamics simulations to study their binding with these protein systems. Using a structure-based screening scheme, a batch of top-ranking compounds were selected, and their binding affinities were predicted of these compounds were performed. Representative compound C93106, C43257, and C41580 all showed good comprehensive binding score. Our results indicate that the target compounds can all form key interactions with the active site of the protein, and 30 ns molecular dynamic simulation of the complex system indicates a stable binding conformation. This research laid the foundation for the development of more effective and specific HIF-2α and c-Myc dual-target inhibitors.
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