Evidence map›Paper›PMID 21156138›Full record

ArticleBiophysical journal2010

Universality in the timescales of internal loop formation in unfolded proteins and single-stranded oligonucleotides.

Ryan R Cheng, Takanori Uzawa, Kevin W Plaxco, Dmitrii E Makarov

Abstract read
In one paragraph

Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Does Electric Friction Matter in Living Cells?The journal of physical chemistry. B · 2021
    Article
  2. Article
  3. Article
  4. How quickly can a β-hairpin fold from its transition state?The journal of physical chemistry. B · 2014
    Article
  5. Article
  6. Quantifying internal friction in unfolded and intrinsically disordered proteins with single-molecule spectroscopy.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

4 authors.

Ryan R ChengDepartment of Chemistry and Biochemistry, University of Texas at Austin, Austin, Texas, USA.
Takanori Uzawa
Kevin W Plaxco
Dmitrii E Makarov

Funding

Bio-Optical Composites for Rapid Analyte DetectionR01EB002046 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2003 to 2011
$1.6M
NIBIB NIH HHS R01 EB002046
6 · The paper itself

Abstract

Understanding the rate at which various parts of a molecular chain come together to facilitate the folding of a biopolymer (e.g., a protein or RNA) into its functional form remains an elusive goal. Here we use experiments, simulations, and theory to study the kinetics of internal loop closure in disordered biopolymers such as single-stranded oligonucleotides and unfolded proteins. We present theoretical arguments and computer simulation data to show that the relationship between the timescale of internal loop formation and the positions of the monomers enclosing the loop can be recast in a form of a universal master dependence. We also perform experimental measurements of the loop closure times of single-stranded oligonucleotides and show that both these and previously reported internal loop closure kinetics of unfolded proteins are well described by this theoretically predicted dependence. Finally, we propose that experimental deviations from the master dependence can then be used as a sensitive probe of dynamical and structural order in unfolded proteins and other biopolymers.

Indexed as

Protein Structure, SecondaryProtein UnfoldingComputer SimulationKineticsModels, MolecularOligonucleotidesPolymersProteinsTime FactorsOligonucleotidesPolymersProteins

Identifiers

PMID21156138
PMCPMC3000509

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.