分子动力学的长时间规模组合方法:SARS-CoV-2点中的联体蛋白相互作用和Allostery
Agastya P Bhati1, Art Hoti1, Andrew Potterton1
1Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom.
Journal of chemical theory and computation
|May 29, 2023
概括
分子动力学模拟揭示了SARS-CoV-2药物发现的关键蛋白质-配体相互作用. 模拟集体对于准确的结合点识别和可靠的自由能量计算至关重要.
科学领域:
- 计算化学和分子建模.
- 结构生物学和药物发现.
- 生物物理和分子动力学模拟.
背景情况:
- 像3CLPro这样的SARS-CoV-2点对于抗病毒药物开发至关重要.
- 准确地确定蛋白质 - 配体结合点和相互作用对于药物发现至关重要.
- 分子动力学模拟是研究分子相互作用的强大工具,但需要仔细分析.
研究的目的:
- 通过使用长时间尺度分子动力学模拟,准确地和可重复地确定SARS-CoV-2标的连接体结合位.
- 研究蛋白质 - 连接体系统中抑制和形状变化的全性机制.
- 评估从单个与集团分子动力学轨迹的自由能量计算的可靠性.
主要方法:
- 长时间尺度和自适应采样对五种蛋白质-连接体系统的分子动力学模拟.
- 每个系统的十个或十二个10μs模拟集.
- 直接约束的自由能源计算协议和不同自由能源方法的比较.
主要成果:
- 准确识别已知和新型的SARS-CoV-2点的配体结合部位.
- 观察3CLPro中的全抑制机制和相关的构造变化.
- 证明单个分子动力学轨迹产生不可靠的自由能量计算,需要组合的可重现性.
结论:
- 独立的分子动力学轨迹的集合对于克服异构不确定性和获得统计学上有意义的结果至关重要.
- 这些发现广泛适用于各种科学领域的分子动力学模拟.
- 这项研究为针对病毒蛋白酶和其他酶的药物发现提供了坚实的框架.
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