Evidence map›Paper›PMID 26088347›Full record

ArticleProtein science : a publication of the Protein Society2016

Extracting intrinsic dynamic parameters of biomolecular folding from single-molecule force spectroscopy experiments.

Gi-Moon Nam, Dmitrii E Makarov

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Observing the base-by-base search for native structure along transition paths during the folding of single nucleic acid hairpins.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Modulation of a protein-folding landscape revealed by AFM-based force spectroscopy notwithstanding instrumental limitations.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Article
  8. Measuring the average shape of transition paths during the folding of a single biological molecule.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Transition paths in single-molecule force spectroscopy.The Journal of chemical physics · 2018
    Article
  13. Review
  14. Article
  15. Article
  16. Direct measurement of sequence-dependent transition path times and conformational diffusion in DNA duplex formation.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  17. Article
  18. 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

2 authors.

Gi-Moon NamDepartment of Chemistry, University of Texas at Austin, Austin, Texas, 78712.
Dmitrii E MakarovDepartment of Chemistry, University of Texas at Austin, Austin, Texas, 78712.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule studies in which a mechanical force is transmitted to the molecule of interest and the molecular extension or position is monitored as a function of time are versatile tools for probing the dynamics of protein folding, stepping of molecular motors, and other biomolecular processes involving activated barrier crossing. One complication in interpreting such studies, however, is the fact that the typical size of a force probe (e.g., a dielectric bead in optical tweezers or the atomic force microscope tip/cantilever assembly) is much larger than the molecule itself, and so the observed molecular motion is affected by the hydrodynamic drag on the probe. This presents the experimenter with a nontrivial task of deconvolving the intrinsic molecular parameters, such as the intrinsic free energy barrier and the effective diffusion coefficient exhibited while crossing the barrier from the experimental signal. Here we focus on the dynamical aspect of this task and show how the intrinsic diffusion coefficient along the molecular reaction coordinate can be inferred from single-molecule measurements of the rates of biomolecular folding and unfolding. We show that the feasibility of accomplishing this task is strongly dependent on the relationship between the intrinsic molecular elasticity and that of the linker connecting the molecule to the force probe and identify the optimal range of instrumental parameters allowing determination of instrument-free molecular dynamics.

Indexed as

Microscopy, Atomic ForceMolecular Dynamics SimulationProtein FoldingProteinsProteinsKramers theoryprotein foldingsingle-molecule force-probe spectroscopy

Identifiers

PMID26088347
PMCPMC4815315

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.