背景:2019年11月,世界面临着一种称为SARS-CoV-2的大流行,这种大流行已成为对人类的主要威胁,并将继续存在。为了克服这一点,许多植物被探索以找到治疗方法。
方法:因此,这项研究计划从黄花蒿中筛选出可以对抗病毒主要蛋白酶Mpro的活性成分,因为这种非结构蛋白负责病毒复制酶的裂解。属于不同类别的二十五种生物化合物,即α-pine烯,β-pine烯,Carvone,Molrtenol,奎尼酸,咖啡酸,槲皮素,芦丁,芹菜素,黄脾素,青蒿宁B,青蒿素,scopoletin,scoparone,青蒿酸,脱氧青蒿素,artemetin,casticin,Sitogluside,β-谷甾醇,双氢青蒿素,斯科波林,蒿甲醚,artemotil,选择青蒿琥酯。通过CBdock针对药物靶标Mpro进行了这些配体的虚拟筛选。
结果:槲皮素,芦丁,casticin,黄脾素,芹菜素,artemetin,青蒿琥酯,sopolin和sito-gluside被发现是被击中的化合物。Further,进行了ADMET筛选,以Chrysosopletin为先导化合物。阿奇霉素用作标准药物。通过PyMol研究相互作用并在LigPlot中可视化。此外,RMSD图显示了Top1(阿奇霉素)复杂系统在模拟开始时各点的波动,这是由于特定点的螺旋-线圈-螺旋结构变化和β-转角-β变化导致RMSD增加,时间范围为50ns.但是这种变化在模拟时间间隔延长到100ns之后保持稳定。在另一边,Top2复杂系统在整个时间尺度上保持高度稳定。没有观察到这种结构动力学,因为配体与活性位点残基强烈结合。
结论:这项研究有助于研究人员开发和发现针对SARS-CoV-2和其他病毒感染的更有效和特异性的治疗剂。最后,黄体素被确定为更有效的候选药物,以对抗病毒主要蛋白酶,这在未来可能会有所帮助。
BACKGROUND: In November 2019, the world faced a pandemic called SARS-CoV-2, which became a major threat to humans and continues to be. To overcome this, many plants were explored to find a cure.
METHODS: Therefore, this research was planned to screen out the active constituents from Artemisia annua that can work against the viral main protease Mpro as this non-structural protein is responsible for the cleavage of replicating enzymes of the virus. Twenty-five biocompounds belonging to different classes namely alpha-pinene, beta-pinene, carvone, myrtenol, quinic acid, caffeic acid, quercetin, rutin, apigenin, chrysoplenetin, arteannunin b, artemisinin, scopoletin, scoparone, artemisinic acid, deoxyartemisnin, artemetin, casticin, sitogluside, beta-sitosterol, dihydroartemisinin, scopolin, artemether, artemotil, artesunate were selected. Virtual screening of these ligands was carried out against drug target Mpro by CB dock.
RESULTS: Quercetin, rutin, casticin, chrysoplenetin, apigenin, artemetin, artesunate, sopolin and sito-gluside were found as hit compounds. Further, ADMET screening was conducted which represented Chrysoplenetin as a lead compound.
Azithromycin was used as a standard drug. The interactions were studied by PyMol and visualized in LigPlot. Furthermore, the RMSD graph shows fluctuations at various points at the start of simulation in Top1 (
Azithromycin) complex system due to structural changes in the helix-coil-helix and beta-turn-beta changes at specific points resulting in increased RMSD with a time frame of 50 ns. But this change remains stable after the extension of simulation time intervals till 100 ns. On other side, the Top2 complex system remains highly stable throughout the time scale. No such structural dynamics were observed bu the ligand attached to the active site residues binds strongly.
CONCLUSIONS: This
study facilitates researchers to develop and discover more effective and specific therapeutic agents against SARS-CoV-2 and other viral infections. Finally, chrysoplenetin was identified as a more potent drug candidate to act against the viral main protease, which in the future can be helpful.