Evidence map›Paper›PMID 27705761›Full record

ArticleBiophysical journal2016

Single-Molecule Analysis beyond Dwell Times: Demonstration and Assessment in and out of Equilibrium.

Sonja Schmid, Markus Götz, Thorsten Hugel

Abstract readEvaluation Study
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
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  7. Article
  8. Increasing the accuracy of single-molecule data analysis using tMAVEN.bioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. The Onset of Molecule-Spanning Dynamics in Heat Shock Protein Hsp90.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Theory and Analysis of Single-Molecule FRET Experiments.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sonja SchmidInstitute of Physical Chemistry, University of Freiburg, Freiburg, Germany.
Markus GötzInstitute of Physical Chemistry, University of Freiburg, Freiburg, Germany.
Thorsten HugelInstitute of Physical Chemistry, University of Freiburg, Freiburg, Germany. Electronic address: thorsten.hugel@pc.uni-freiburg.de.

Funding

European Research Council 681891
6 · The paper itself

Abstract

We present a simple and robust technique for extracting kinetic rate models and thermodynamic quantities from single-molecule time traces. Single-molecule analysis of complex kinetic sequences (SMACKS) is a maximum-likelihood approach that resolves all statistically relevant rates and also their uncertainties. This is achieved by optimizing one global kinetic model based on the complete data set while allowing for experimental variations between individual trajectories. In contrast to dwell-time analysis, which is the current standard method, SMACKS includes every experimental data point, not only dwell times. As a result, it works as well for long trajectories as for an equivalent set of short ones. In addition, the previous systematic overestimation of fast over slow rates is solved. We demonstrate the power of SMACKS on the kinetics of the multidomain protein Hsp90 measured by single-molecule Förster resonance energy transfer. Experiments in and out of equilibrium are analyzed and compared to simulations, shedding new light on the role of Hsp90's ATPase function. SMACKS resolves accurate rate models even if states cause indistinguishable signals. Thereby, it pushes the boundaries of single-molecule kinetics beyond those of current methods.

Indexed as

Fluorescence Resonance Energy TransferKineticsModels, MolecularProtein ConformationAdenosine TriphosphatasesAdenosine TriphosphateArtificial IntelligenceBayes TheoremComputer SimulationDNAEscherichia coliFungal ProteinsHSP90 Heat-Shock ProteinsHydrolysisMarkov ChainsMonte Carlo MethodAdenosine TriphosphatasesAdenosine TriphosphateDNAFungal ProteinsHSP90 Heat-Shock Proteins

Identifiers

PMID27705761
PMCPMC5052450

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.