Single-molecule FRET (smFRET) is a versatile technique to study the dynamics and function of biomolecules since it makes nanoscale movements detectable as fluorescence signals. The powerful ability to infer quantitative kinetic information from smFRET data is, however, complicated by experimental limitations. Diverse analysis tools have been developed to overcome these hurdles but a systematic comparison is lacking. Here, we report the results of a blind benchmark study assessing eleven analysis tools used to infer kinetic rate constants from smFRET trajectories. We tested them against simulated and experimental data containing the most prominent difficulties encountered in analyzing smFRET experiments: different noise levels, varied model complexity, non-equilibrium dynamics, and kinetic heterogeneity. Our results highlight the current strengths and limitations in inferring kinetic information from smFRET trajectories. In addition, we formulate concrete recommendations and identify key targets for future developments, aimed to advance our understanding of biomolecular dynamics through quantitative experiment-derived models. Competing Interest Statement The authors have declared no competing interest. Footnotes * Inconsistencies in Fig. 4 (incl. state numbering) have been corrected, Fig. 4 and Suppl. Fig. 4 have been swapped, the corresponding text was adjusted. Small additional clarifications have been added to the text. The overall conclusions remain unchanged. * https://doi.org/10.5281/zenodo.5701310...

Inferring kinetic rate constants from single-molecule FRET trajectories – a blind benchmark of kinetic analysis tools

10.1101/2021.11.23.469671