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基于统计推断的快速三色单分子 FRET。

Fast three-color single-molecule FRET using statistical inference.

机构信息

Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892-0520, USA.

出版信息

Nat Commun. 2020 Jul 3;11(1):3336. doi: 10.1038/s41467-020-17149-w.

Abstract

We describe theory, experiments, and analyses of three-color Förster resonance energy transfer (FRET) spectroscopy for probing sub-millisecond conformational dynamics of protein folding and binding of disordered proteins. We devise a scheme that uses single continuous-wave laser excitation of the donor instead of alternating excitation of the donor and one of the acceptors. This scheme alleviates photophysical problems of acceptors such as rapid photobleaching, which is crucial for high time resolution experiments with elevated illumination intensity. Our method exploits the molecular species with one of the acceptors absent or photobleached, from which two-color FRET data is collected in the same experiment. We show that three FRET efficiencies and kinetic parameters can be determined without alternating excitation from a global maximum likelihood analysis of two-color and three-color photon trajectories. We implement co-parallelization of CPU-GPU processing, which leads to a significant reduction of the likelihood calculation time for efficient parameter determination.

摘要

我们描述了用于探测蛋白质折叠和无序蛋白质结合的亚毫秒构象动力学的三色彩Förster 共振能量转移(FRET)光谱学的理论、实验和分析。我们设计了一种方案,该方案使用连续波激光对供体进行单一激发,而不是交替激发供体和其中一个受体。该方案缓解了受体的光物理问题,例如快速光漂白,这对于具有升高的照明强度的高时间分辨率实验至关重要。我们的方法利用缺少一个受体或已漂白的分子物种,从该分子物种中收集相同实验中的双色 FRET 数据。我们表明,可以通过对双色和三色光子轨迹进行全局最大似然分析,无需交替激发,就可以确定三个 FRET 效率和动力学参数。我们实现了 CPU-GPU 处理的并行化,这导致了似然计算时间的显著减少,从而可以有效地确定参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68fc/7335206/c874b414241b/41467_2020_17149_Fig1_HTML.jpg

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