2020
DOI: 10.1126/sciadv.aaz4642
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Direct detection of molecular intermediates from first-passage times

Abstract: All natural phenomena are governed by energy landscapes. However, the direct measurement of this fundamental quantity remains challenging, particularly in complex systems involving intermediate states. Here, we uncover key details of the energy landscapes that underpin a range of experimental systems through quantitative analysis of first-passage time distributions. By combined study of colloidal dynamics in confinement, transport through a biological pore, and the folding kinetics of DNA hairpins, we demonstr… Show more

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Cited by 36 publications
(21 citation statements)
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“…Our results can readily be tested by existing experiments probing colloidal particle systems (see e.g. [85][86][87] ), and may furthermore be relevant for a theoretical description of transport in ion-channels [88][89][90][91] . Our results can be extended in diverse ways, most immediately by including other types of interparticle interactions 92 and time-depended energy barriers 93 .…”
Section: Discussionmentioning
confidence: 73%
“…Our results can readily be tested by existing experiments probing colloidal particle systems (see e.g. [85][86][87] ), and may furthermore be relevant for a theoretical description of transport in ion-channels [88][89][90][91] . Our results can be extended in diverse ways, most immediately by including other types of interparticle interactions 92 and time-depended energy barriers 93 .…”
Section: Discussionmentioning
confidence: 73%
“…Thermal vibrations of the pore's structure affect the motion of analytes [61,62]. The number of analytes within the pore is also strongly fluctuating, as there are only a few particles within at a time [63][64][65]. Moreover, the analyte undergoes Brownian motion, so the interest in not on the analysis of a single capture event, but on a statistical description of the capture [10,66,67].…”
Section: Modeling and Computational Challengesmentioning
confidence: 99%
“…In particular, they have been shown to successfully discriminate diffusion on fractal objects from other types of dynamics ( 37 ). Nevertheless, first-passage time distributions are rarely measured in experiments and are only slowly emerging as powerful experimental observables ( 38 , 39 ), which have not yet been applied to fractals.…”
Section: Introductionmentioning
confidence: 99%