如何高效地描述蛋白质-连接体识别的相互作用途径? 对增强抽样方法进行比较分析
Zhiliang Jiang1, Mingyun Shen2, Zhe Wang3,4
1Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 210009, Jiangsu, People's Republic of China.
The Journal of chemical physics
|January 9, 2026
概括
通过比较增强的采样方法,随机加速分子动力学 (RAMD) 为探索药物向解离路径提供了更快的方法,特别是当保持蛋白质稳定时. 当蛋白质稳定性是一个问题时,建议使用温和的元动力学.
科学领域:
- 计算化学计算化学
- 分子动力学分子动力学
- 药物发现 药物发现 药物发现
背景情况:
- 候选药物在实验中经常失败,尽管有有利的结合口袋相互作用.
- 药物目标识别动态至关重要,但具有挑战性.
- 现有的增强采样模拟缺乏对最佳设置的系统调查.
研究的目的:
- 系统地比较温度良好的元动力学 (MetaD) 和随机加速分子动力学 (RAMD),以表征蛋白质-连接体解离.
- 调查最佳的模拟策略,以有效地分析药物向相互作用途径.
- 评估这些方法在明显通路 (激酶) 和不明显通路 (核受体) 系统上.
主要方法:
- 对MetaD和RAMD模拟进行比较分析.
- 利用了两个目标家族:激酶 (TRK1) 和核受体 (THRβ).
- 评估了蛋白质结构稳定性,药物停留时间和相互作用途径的一致性.
主要成果:
- MetaD和RAMD (具有高强度) 保持蛋白质结构的稳定性.
- 这两种方法都与实验结合强度相关联的停留时间;RAMD更快.
- 对目标家族的两种方法都观察到一致的相互作用途径偏好.
结论:
- 具有高随机力的RAMD在蛋白质稳定性得到保证的情况下,对探索解离路径的时间效率很高.
- 具有高偏差因子的MetaD是当蛋白质稳定性受到损害时,适当的替代平衡精度和效率.
- 这些发现指导了用于药物向相互作用研究的增强采样技术的选择.
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