Evidence map›Paper›PMID 24274729›Full record

ArticleBiomacromolecules2014

Interfacial protein-protein associations.

Blake B Langdon, Mark Kastantin, Robert Walder, Daniel K Schwartz

Open access · greenAbstract read
In one paragraph

Article in Biomacromolecules, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Reversible Adsorption Kinetics of Near Surface Dimer Colloids.Langmuir : the ACS journal of surfaces and colloids · 2016
    Article
  8. 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 1 institution in 1 country.

Blake B LangdonDepartment of Chemical and Biological Engineering, University of Colorado Boulder , Boulder, Colorado 80309, United States.
Mark Kastantin
Robert Walder
Daniel K Schwartz
University of Colorado Boulder · US

Funding

Tools to Connect Protein Conformations, Dynamics, and AssociationsR21EB015532 · NIBIB · UNIVERSITY OF COLORADO · PI SCHWARTZ, DANIEL · 2012 to 2013
$375k
NIBIB NIH HHS 5R21EB015532-02NIBIB NIH HHS R21 EB015532
6 · The paper itself

Abstract

While traditional models of protein adsorption focus primarily on direct protein-surface interactions, recent findings suggest that protein-protein interactions may play a central role. Using high-throughput intermolecular resonance energy transfer (RET) tracking, we directly observed dynamic, protein-protein associations of bovine serum albumin on polyethylene glycol modified surfaces. The associations were heterogeneous and reversible, and associating molecules resided on the surface for longer times. The appearance of three distinct RET states suggested a spatially heterogeneous surface - with areas of high protein density (i.e., strongly interacting clusters) coexisting with mobile monomers. Distinct association states exhibited characteristic behavior, i.e., partial-RET (monomer-monomer) associations were shorter-lived than complete-RET (protein-cluster) associations. While the fractional surface area covered by regions with high protein density (i.e., clusters) increased with increasing concentration, the distribution of contact times between monomers and clusters was independent of solution concentration, suggesting that associations were a local phenomenon, and independent of the global surface coverage.

Indexed as

AnimalsCattlePolyethylene GlycolsProtein Interaction Domains and MotifsProtein Structure, TertiarySerum Albumin, BovineSurface PropertiesPolyethylene GlycolsSerum Albumin, Bovine

Identifiers

PMID24274729
PMCPMC3895929
OpenAlexW2322719818

What OpenQuestion holds

Textmetadata
LicenceTDM
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.