通过共价药物对接,分子动力学模拟和MMGBSA计算来识别潜在的COVID-19 Mpro抑制剂
Mohammad Hossein Haghir Ebrahim Abadi1,2, Fatemeh Bayani1,2, Yahya Sefidbakht3,4
1Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, 1983969411, Iran.
研究人员选了2000个潜在的SARS-CoV-2主要蛋白酶 (Mpro) 抑制剂,通过分子对接和动力学模拟确定了两种有前途的候选药物lig-7612和lig-837.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 病毒学 病毒学
背景情况:
- SARS-CoV-2 主蛋白酶 (Mpro) 对于病毒复制至关重要,也是抗病毒疗法的关键标.
- 识别新型Mpro抑制剂需要有效的查和验证方法.
研究的目的:
- 使用计算方法识别和评估潜在的共价Mpro抑制剂.
- 评估选择的候选药物与Mpro.的稳定性和结合相互作用.
主要方法:
- 使用FragRep服务器对2000种化合物的虚拟选.
- 使用SeeSAR.使用选择的体对Mpro结构 (7JKV,7TDU) 进行共价分子对接.
- 100 ns的分子动力学模拟来分析复杂的稳定性 (RMSD,Rg,SASA,RMSF).
主要成果:
- 对于每个Mpro结构,选择了6个顶级候选者,并对接了12个连接体.
- 分子动力学模拟证实了共价Mpro-ligand复合物的稳定性.
- 体lig-7612和lig-837表现出稳定的相互作用,表明潜在的治疗价值.
结论:
- 体lig-7612和lig-837显示出作为SARS-CoV-2 Mpro抑制剂的承诺.
- 进一步的体内安全性和药理动力学研究是必要的治疗开发.
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