ArticleNature communications2025
Model-free photon analysis of diffusion-based single-molecule FRET experiments.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Benchmarking dynamic analysis methods in diffusion-based single-molecule FRET.Cell reports methods · 2026Article
- Advancements in single-molecule fluorescence spectroscopy for probing conformations, dynamics, and interactions in disordered protein regions.Current opinion in structural biology · 2026Review
- Cooperativity, dynamics, and the free-energy surfaces of charge-patterned IDPs.bioRxiv : the preprint server for biology · 2026Article
- Article
- FRET-FCS: Advancing comprehensive insights into complex biological systems.Biophysical journal · 2025Review
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Authors and funding
9 authors.
Funding
Abstract
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.
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Registered trials
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