Evidence map›Paper›PMID 24400591›Full record

ArticleJournal of the American Chemical Society2014

Superselective targeting using multivalent polymers.

Galina V Dubacheva, Tine Curk, Bortolo M Mognetti, Rachel Auzély-Velty, Daan Frenkel, Ralf P Richter

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Whole-genome detection using multivalent DNA-coated colloids.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Bimodal brush-functionalized nanoparticles selective to receptor surface density.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Direct visualization of superselective colloid-surface binding mediated by multivalent interactions.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Review
  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

6 authors.

Galina V DubachevaBiosurfaces Unit, CIC biomaGUNE , Paseo Miramon 182, 20009 Donostia-San Sebastian, Spain.
Tine Curk
Bortolo M Mognetti
Rachel Auzély-Velty
Daan Frenkel
Ralf P Richter

Funding

European Research Council 306435
6 · The paper itself

Abstract

Despite their importance for material and life sciences, multivalent interactions between polymers and surfaces remain poorly understood. Combining recent achievements of synthetic chemistry and surface characterization, we have developed a well-defined and highly specific model system based on host/guest interactions. We use this model to study the binding of hyaluronic acid functionalized with host molecules to tunable surfaces displaying different densities of guest molecules. Remarkably, we find that the surface density of bound polymer increases faster than linearly with the surface density of binding sites. Based on predictions from a simple analytical model, we propose that this superselective behavior arises from a combination of enthalpic and entropic effects upon binding of nanoobjects to surfaces, accentuated by the ability of polymer chains to interpenetrate.

Indexed as

Models, ChemicalAdsorptionbeta-CyclodextrinsBinding, CompetitiveBinding SitesFerrous CompoundsHyaluronic AcidMetallocenesMolecular Structurebeta-CyclodextrinsferroceneFerrous CompoundsHyaluronic AcidMetallocenes

Identifiers

PMID24400591
PMCPMC3919174

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.