We present a unified conceptual framework and the associated software package for single-molecule Förster resonance energy transfer (smFRET) analysis from single-photon arrivals leveraging Bayesian nonparametrics, BNP-FRET. This unified framework addresses the following key physical complexities of a single-photon smFRET experiment, including: 1) fluorophore photophysics; 2) continuous time kinetics of the labeled system with large timescale separations between photophysical phenomena such as excited photophysical state lifetimes and events such as transition between system states; 3) unavoidable detector artefacts; 4) background emissions; 5) unknown number of system states; and 6) both continuous and pulsed illumination. These physical features necessarily demand a novel framework that extends beyond existing tools. In particular, the theory naturally brings us to a hidden Markov model with a second-order structure and Bayesian nonparametrics on account of items 1, 2, and 5 on the list. In the second and third companion articles, we discuss the direct effects of these key complexities on the inference of parameters for continuous and pulsed illumination, respectively.
Single-photon smFRET. I: Theory and conceptual basis.
单光子smFRET. I: 理论和概念基础
阅读:5
作者:Saurabh Ayush, Fazel Mohamadreza, Safar Matthew, Sgouralis Ioannis, Pressé Steve
| 期刊: | Biophysical Reports | 影响因子: | 2.700 |
| 时间: | 2023 | 起止号: | 2022 Dec 2; 3(1):100089 |
| doi: | 10.1016/j.bpr.2022.100089 | ||
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