Evidence map›Paper›PMID 37108771›Full record

ArticleInternational journal of molecular sciences2023

Waiting Time Distributions in Hybrid Models of Motor-Bead Assays: A Concept and Tool for Inference.

Benjamin Ertel, Jann van der Meer, Udo Seifert

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Benjamin ErtelII. Institut für Theoretische Physik, Universität Stuttgart, 70550 Stuttgart, Germany.ORCID 0000-0002-4696-2243
Jann van der MeerII. Institut für Theoretische Physik, Universität Stuttgart, 70550 Stuttgart, Germany.ORCID 0000-0002-3619-6653
Udo SeifertII. Institut für Theoretische Physik, Universität Stuttgart, 70550 Stuttgart, Germany.ORCID 0000-0002-9271-6190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In single-molecule experiments, the dynamics of molecular motors are often observed indirectly by measuring the trajectory of an attached bead in a motor-bead assay. In this work, we propose a method to extract the step size and stalling force for a molecular motor without relying on external control parameters. We discuss this method for a generic hybrid model that describes bead and motor via continuous and discrete degrees of freedom, respectively. Our deductions are solely based on the observation of waiting times and transition statistics of the observable bead trajectory. Thus, the method is non-invasive, operationally accessible in experiments and can, in principle, be applied to any model describing the dynamics of molecular motors. We briefly discuss the relation of our results to recent advances in stochastic thermodynamics on inference from observable transitions. Our results are confirmed by extensive numerical simulations for parameters values of an experimentally realized F1-ATPase assay.

Indexed as

Mechanical PhenomenaWaiting ListsMolecular Motor ProteinsProton-Translocating ATPasesMolecular Motor ProteinsProton-Translocating ATPasesmolecular motorsmotor–bead assaysstalling forcestochastic thermodynamicsthermodynamic inference

Identifiers

PMID37108771
PMCPMC10145242

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Registered trials

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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.