Evidence map›Paper›PMID 16581843›Full record

ArticleBiophysical journal2006

Strength of multiple parallel biological bonds.

Todd Sulchek, Raymond W Friddle, Aleksandr Noy

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Rupture of multiple catch-slip bonds: Two-state two-pathway catch-slip bonds.The European physical journal. E, Soft matter · 2013
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 1 institution in 1 country.

Todd SulchekPhysical Biosciences Institute, Chemistry and Materials Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
Raymond W Friddle
Aleksandr Noy
Lawrence Livermore National Laboratory · US

Funding

TREATMENT OF B CELL MALIGNANCIES.P01CA047829 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI DENARDO, GERALD L · 1988 to 2006
$10.0M
NCI NIH HHS CA47829NCI NIH HHS P01 CA047829
6 · The paper itself

Abstract

Multivalent interactions play a critical role in a variety of biological processes on both molecular and cellular levels. We have used molecular force spectroscopy to investigate the strength of multiple parallel peptide-antibody bonds using a system that allowed us to determine the rupture forces and the number of ruptured bonds independently. In our experiments the interacting molecules were attached to the surfaces of the probe and sample of the atomic force microscope with flexible polymer tethers, and the unique mechanical signatures of the tethers determined the number of ruptured bonds. We show that the rupture forces increase with the number of interacting molecules and that the measured forces obey the predictions of a Markovian model for the strength of multiple parallel bonds. We also discuss the implications of our results to the interpretation of force spectroscopy measurements in multiple bond systems.

Indexed as

AntibodiesAntigen-Antibody ComplexBinding SitesComputer SimulationMicroscopy, Atomic ForceModels, ChemicalModels, MolecularMucin-1Peptide FragmentsProtein BindingAntibodiesAntigen-Antibody ComplexMUC1 tandem repeat peptideMucin-1Peptide Fragments

Identifiers

PMID16581843
PMCPMC1471875
OpenAlexW2097195734

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.