对SARS-CoV-2 Mpro酶的342个晶体全结构的计算评估和基准研究
Hamlet Khachatryan1,2, Mher Matevosyan3, Vardan Harutyunyan3
1Denovo Sciences Inc, 0060, Yerevan, Armenia. hamletk@denovosciences.ai.
Scientific reports
|June 20, 2024
概括
选择正确的严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 主蛋白酶 (Mpro) 结构是有效的基于结构的虚拟查 (SBVS) 的关键. 选择不当的形状导致药物发现结果不准确.
科学领域:
- 药物发现 药物发现 药物发现
- 结构生物学 结构生物学
- 计算化学的计算化学
背景情况:
- 由SARS-CoV-2引起的COVID-19大流行,需要新的抗病毒疗法.
- 由于其在病毒复制中的作用,SARS-CoV-2主蛋白酶 (Mpro) 是药物开发的关键目标.
- 现有的治疗方法不足,导致需要先进的药物发现方法.
研究的目的:
- 系统地评估SARS-CoV-2 Mpro全晶结构,以在基于结构的虚拟查 (SBVS) 中进行最佳选择.
- 为了识别阻碍或促进准确的虚拟查结果的特定Mpro形状.
- 为改善药物发现提供对影响对接性能的结构特征的见解.
主要方法:
- 对342个SARS-CoV-2 Mpro全晶结构的系统分析.
- 使用了三个对接程序 (AutoDock Vina,rDock,Glide) 来进行虚拟选效率评估.
- 评估基于结构的虚拟查性能,使用EF,AUC和BEDROCK等指标,以及姿势预测准确性.
主要成果:
- 在评估的Mpro结构中观察到有限的结构灵活性.
- 结构5RHE,7DDC和7DPU始终产生最差的性能指标 (低EF,AUC,BEDROCK) 并提出预测.
- 关键的结构变化,包括S1子站点的缺失和S2子口袋的存在,与非最佳对接结果相关.
结论:
- 选择适当的SARS-CoV-2 Mpro形状对于基于结构的虚拟查的成功至关重要.
- 某些Mpro PDB条目 (5RHE,7DDC,7DPU) 的特定结构特征会对虚拟选准确性产生负面影响.
- 这些发现为优化SBVS策略在SARS-CoV-2治疗药物的开发中提供了宝贵的指导.
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