找到复杂生物分子的多重过渡途径
Kun Xi1, Jinchu Liu1, Lizhe Zhu1
1School of Medicine and Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
Journal of chemical information and modeling
|March 10, 2025
概括
这项研究引入了一种新协议,以有效地找到多个低自由能量路径 (LFEPs) 来实现生物分子构造变化. 该方法成功地确定了Met-enkephalin和T4Lysozyme的几个并行通路,揭示了新的机制性见解.
科学领域:
- 计算化学的计算化学
- 生物物理学的生物物理.
- 分子动力学分子动力学
背景情况:
- 定位低自由能量路径 (LFEP) 对于理解生物分子功能动态至关重要.
- 现有的方法,如基于旅行销售员的自动路径搜索 (TAPS),可以有效地找到单个路径,但与多个并行路径作斗争.
研究的目的:
- 开发和演示一个全面的协议,以高效地采样复杂生物分子中的多个平行LFEP.
- 通过识别多样化的过渡路径,揭示对生物分子构造变化的新机理性见解.
主要方法:
- 经过修改并行级联方法,在隐性溶剂中产生了许多不同的路径.
- 路径被聚集并通过累积障碍进行过.
- 使用TAPS在显式溶剂中改进了优化的初始路径.
主要成果:
- 成功采样了八个LFEP用于Met-enkephalin的310螺旋转向β转向过渡.
- 确定了四个LFEP用于T4溶酶 (T4L-L99A) 的L99A变体.
- 从两个以前未报告的T4L-L99A过渡路径中发现了新的机制见解.
结论:
- 开发的协议在复杂的生物分子构造变化中采样多个过渡路径时强大而高效.
- 这种方法为揭示生物分子功能动态的全谱提供了一个强大的工具.
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