Evidence map›Paper›PMID 18192346›Full record

ArticleBiophysical journal2008

Geometry of mediating protein affects the probability of loop formation in DNA.

Neeraj J Agrawal, Ravi Radhakrishnan, Prashant K Purohit

Abstract read
In one paragraph

Article in Biophysical journal, 2008. 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. Article
  3. Single-molecule fluorescence studies on DNA looping.Methods (San Diego, Calif.) · 2016
    Article
  4. Article
  5. Probing the elastic limit of DNA bending.Nucleic acids research · 2014
    Article
  6. Review
  7. Article
  8. The radial distribution function of worm-like chains.The European physical journal. E, Soft matter · 2010
    Article
  9. Article
  10. 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

3 authors.

Neeraj J AgrawalChemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ravi Radhakrishnan
Prashant K Purohit

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent single molecule experiments have determined the probability of loop formation in DNA as a function of the DNA contour length for different types of looping proteins. The optimal contour length for loop formation as well as the probability density functions have been found to be strongly dependent on the type of looping protein used. We show, using Monte Carlo simulations and analytical calculations, that these observations can be replicated using the wormlike-chain model for double-stranded DNA if we account for the nonzero size of the looping protein. The simulations have been performed in two dimensions so that bending is the only mode of deformation available to the DNA while the geometry of the looping protein enters through a single variable which is representative of its size. We observe two important effects that seem to directly depend on the size of the enzyme: 1), the overall propensity of loop formation at any given value of the DNA contour length increases with the size of the enzyme; and 2), the contour length corresponding to the first peak as well as the first well in the probability density functions increases with the size of the enzyme. Additionally, the eigenmodes of the fluctuating shape of the looped DNA calculated from simulations and theory are in excellent agreement, and reveal that most of the fluctuations in the DNA occur in regions of low curvature.

Indexed as

Models, ChemicalModels, MolecularBinding SitesComputer SimulationDNADNA-Binding ProteinsModels, StatisticalNucleic Acid ConformationProtein BindingDNADNA-Binding Proteins

Identifiers

PMID18192346
PMCPMC2275674

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.