从光时间序列中结合动力学的贝叶斯推理
J Shepard Bryan1,2, Stanimir Asenov Tashev3,4, Mohamadreza Fazel1,2
1Department of Physics, Arizona State University, Tempe, Arizona 85281, United States.
The journal of physical chemistry. B
|May 7, 2025
概括
这项研究引入了一种新方法,可以准确地测量光数据的结合和解结合率,即使有噪音和光漂白. 该方法可靠地推断出运动速率与光漂白一起,改善结合动力学分析.
科学领域:
- 生物物理学的生物物理.
- 生物化学 生化学
- 分子动力学分子动力学
背景情况:
- 使用光时间痕迹分析结合动力学是具有挑战性的,因为测量噪声和光物理.
- 与光闪相不同的是,光漂白不能很容易地减轻,并且限制了目前确定结合和解结合速率的方法.
研究的目的:
- 开发一种新的方法,从光强度痕迹中推断结合和解结合率以及光漂白率.
- 在动力速率分析中克服噪声和光漂白引起的现有方法的局限性.
主要方法:
- 一个采用隐藏的马尔科夫模型 (HMM) 分析个别感兴趣区域 (ROI) 的两阶段过程.
- 从每个痕迹中推断光强度水平和状态轨迹,使用HMM.
- 使用所有ROI的推断状态轨迹来确定动态速率.
主要成果:
- 拟议的方法有效地分析噪音光痕迹.
- 它准确地解释了动力分析期间的光漂白事件.
- 为推断的结合动力学提供可靠的不确定性.
结论:
- 开发的方法提供了一个强大的方法来研究在噪声和光漂白的存在下结合动力学.
- 通过模拟和DNA原形结合实验证明了有效性.
- 提高基于光的动力测量的准确性和可靠性.
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