Evidence map›Paper›PMID 23487746›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

From mechanical folding trajectories to intrinsic energy landscapes of biopolymers.

Michael Hinczewski, J Christof M Gebhardt, Matthias Rief, D Thirumalai

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
9.8field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
  2. Review
  3. Accurate Memory Kernel Extraction from Discretized Time-Series Data.Journal of chemical theory and computation · 2024
    Article
  4. Fast protein folding is governed by memory-dependent friction.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Non-Markovian modeling of protein folding.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Energy landscapes of fast-folding proteins pushing the limits of atomic force microscope (AFM) pulling.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. 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
  15. Review
  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

4 authors at 2 institutions in 2 countries.

Michael HinczewskiInstitute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA. mhincz@umd.edu
J Christof M Gebhardt
Matthias Rief
D Thirumalai
Technical University of Munich · DEUniversity of Maryland, College Park · US

Funding

Computational Approaches to Single Molecule Force SpectroscopyR01GM089685 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI THIRUMALAI, DEVARAJAN · 2010 to 2020
$2.9M
Extraction of protein and RNA folding landscapes from force clamp experimentsF32GM097756 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HINCZEWSKI, MICHAEL · 2011 to 2011
$59k
NIGMS NIH HHS 1 F32 GM 97756-1NIGMS NIH HHS F32 GM097756NIGMS NIH HHS GM 089685NIGMS NIH HHS R01 GM089685
6 · The paper itself

Abstract

In single-molecule laser optical tweezer (LOT) pulling experiments, a protein or RNA is juxtaposed between DNA handles that are attached to beads in optical traps. The LOT generates folding trajectories under force in terms of time-dependent changes in the distance between the beads. How to construct the full intrinsic folding landscape (without the handles and beads) from the measured time series is a major unsolved problem. By using rigorous theoretical methods--which account for fluctuations of the DNA handles, rotation of the optical beads, variations in applied tension due to finite trap stiffness, as well as environmental noise and limited bandwidth of the apparatus--we provide a tractable method to derive intrinsic free-energy profiles. We validate the method by showing that the exactly calculable intrinsic free-energy profile for a generalized Rouse model, which mimics the two-state behavior in nucleic acid hairpins, can be accurately extracted from simulated time series in a LOT setup regardless of the stiffness of the handles. We next apply the approach to trajectories from coarse-grained LOT molecular simulations of a coiled-coil protein based on the GCN4 leucine zipper and obtain a free-energy landscape that is in quantitative agreement with simulations performed without the beads and handles. Finally, we extract the intrinsic free-energy landscape from experimental LOT measurements for the leucine zipper.

Indexed as

Leucine ZippersModels, ChemicalNucleic Acid ConformationProtein FoldingDNAOptical TweezersRNADNARNA

Identifiers

PMID23487746
PMCPMC3606983
OpenAlexW2100847043

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.