Evidence map›Paper›PMID 32494675›Full record

ArticleScience advances2020

Direct detection of molecular intermediates from first-passage times.

Alice L Thorneywork, Jannes Gladrow, Yujia Qing, Marc Rico-Pasto, Felix Ritort, Hagan Bayley, Anatoly B Kolomeisky, Ulrich F Keyser

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Energy Landscapes of Model Knotted Polymers.Journal of chemical theory and computation · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dynamical Signatures of Multifunnel Energy Landscapes.The journal of physical chemistry letters · 2022
    Review
  8. Article
  9. Article
  10. Broad distributions of transition-path times are fingerprints of multidimensionality of the underlying free energy landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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

8 authors.

Alice L ThorneyworkCavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.ORCID 0000-0001-5600-8245
Jannes GladrowCavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.
Yujia QingDepartment of Chemistry, University of Oxford, Oxford OX1 3TA, UK.ORCID 0000-0002-2110-4269
Marc Rico-PastoDepartment de Fisica de la Materia Condensada, Universitat de Barcelona, C/Marti i Franques 1, 08028 Barcelona, Spain.ORCID 0000-0003-0045-3379
Felix RitortDepartment de Fisica de la Materia Condensada, Universitat de Barcelona, C/Marti i Franques 1, 08028 Barcelona, Spain.ORCID 0000-0002-4869-5003
Hagan BayleyDepartment of Chemistry, University of Oxford, Oxford OX1 3TA, UK.ORCID 0000-0003-2499-6116
Anatoly B KolomeiskyDepartment of Chemistry and Department of Chemical and Biomolecular Engineering Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA.ORCID 0000-0001-5677-6690
Ulrich F KeyserCavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.ORCID 0000-0003-3188-5414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 demonstrate conclusively how a short-time, power-law regime of the first-passage time distribution reflects the number of intermediate states associated with each of these processes, despite their differing length scales, time scales, and interactions. We thereby establish a powerful method for investigating the underlying mechanisms of complex molecular processes.

Identifiers

PMID32494675
PMCPMC7195145

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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.