Evidence map›Paper›PMID 30079200›Full record

ArticleChemical science2018

Structural-elastic determination of the force-dependent transition rate of biomolecules.

Shiwen Guo, Qingnan Tang, Mingxi Yao, Huijuan You, Shimin Le, Hu Chen, Jie Yan

Abstract read
In one paragraph

Article in Chemical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Mechanochemistry: Fundamental Principles and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Article
  4. Biochemical and structural bases for talin ABSs-F-actin interactions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. De novo DNA-based catch bonds.Nature chemistry · 2024
    Article
  7. Principles and regulation of mechanosensing.Journal of cell science · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Mechanical Stabilization of a Bacterial Adhesion Complex.Journal of the American Chemical Society · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Dynamic bonds and their roles in mechanosensing.Current opinion in chemical biology · 2019
    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

7 authors.

Shiwen GuoMechanobiology Institute , National University of Singapore , Singapore 117411 . Email: phyyj@nus.edu.sg ; ; Tel: +65-6516-2620.
Qingnan TangDepartment of Physics , National University of Singapore , Singapore 117551.
Mingxi YaoMechanobiology Institute , National University of Singapore , Singapore 117411 . Email: phyyj@nus.edu.sg ; ; Tel: +65-6516-2620.
Huijuan YouSchool of Pharmacy , Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China 430030.
Shimin LeDepartment of Physics , National University of Singapore , Singapore 117551.
Hu ChenDepartment of Physics , Xiamen University , Xiamen , China 361005.
Jie YanMechanobiology Institute , National University of Singapore , Singapore 117411 . Email: phyyj@nus.edu.sg ; ; Tel: +65-6516-2620.ORCID 0000-0002-8555-7291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The force-dependent unfolding/refolding of protein domains and ligand-receptor association/dissociation are crucial for mechanosensitive functions, while many aspects of how force affects the transition rate still remain poorly understood. Here, we report a new analytical expression of the force-dependent rate of molecules for transitions overcoming a single barrier. Unlike previous models derived in the framework of Kramers theory that requires a presumed one-dimensional free energy landscape, our model is derived based on the structural-elastic properties of molecules which are not restricted by the shape and dimensionality of the underlying free energy landscape. Importantly, the parameters of this model provide direct information on the structural-elastic features of the molecules between their transition and initial states. We demonstrate the applications of this model by applying it to explain force-dependent transition kinetics for several molecules and predict the structural-elastic properties of the transition states of these molecules.

Identifiers

PMID30079200
PMCPMC6050536

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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.