Terterov Ivan, Nettels Daniel, Lastiza-Male Tanya, Bartels Kim, Löw Christian, Vancraenenbroeck Renee, Carmel Itay, Rosenblum Gabriel, Hofmann Hagen
Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot, Israel.
Department of Biochemistry, University of Zurich, Zurich, Switzerland.
Nat Commun. 2025 Jul 1;16(1):5537. doi: 10.1038/s41467-025-60764-8.
Photon-by-photon analysis tools for diffusion-based single-molecule Förster resonance energy transfer (smFRET) experiments often describe protein dynamics with Markov models. However, FRET efficiencies are only projections of the conformational space such that the measured dynamics can appear non-Markovian. Model-free methods to quantify FRET efficiency fluctuations would be desirable in this case. Here, we present such an approach. We determine FRET efficiency correlation functions free of artifacts from the finite length of photon trajectories or the diffusion of molecules through the confocal volume. We show that these functions capture the dynamics of proteins from nano- to milliseconds both in simulation and experiment, which provides a rigorous validation of current model-based analysis approaches.
用于基于扩散的单分子荧光共振能量转移(smFRET)实验的逐光子分析工具通常用马尔可夫模型来描述蛋白质动力学。然而,FRET效率只是构象空间的投影,因此测得的动力学可能呈现非马尔可夫性。在这种情况下,量化FRET效率波动的无模型方法将是可取的。在此,我们提出了这样一种方法。我们确定了FRET效率相关函数,该函数不受光子轨迹有限长度或分子通过共聚焦体积扩散产生的伪影影响。我们表明,这些函数在模拟和实验中都能捕捉从纳秒到毫秒级的蛋白质动力学,这为当前基于模型的分析方法提供了严格的验证。