Evidence map›Paper›PMID 27442012›Full record

ArticleJournal of the American Chemical Society2016

Selective Recognition of d-Aldohexoses in Water by Boronic Acid-Functionalized, Molecularly Imprinted Cross-Linked Micelles.

Joseph K Awino, Roshan W Gunasekara, Yan Zhao

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Substrate Protection in Controlled Enzymatic Transformation of Peptides and Proteins.Chembiochem : a European journal of chemical biology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Synthetic lectins for selective binding of glycoproteins in water.Chemical communications (Cambridge, England) · 2020
    Article
  11. Article
  12. Dandelion flower-like micelles.Chemical science · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Water-Soluble Nanoparticle Receptors Supramolecularly Coded for Acidic Peptides.Chemistry (Weinheim an der Bergstrasse, Germany) · 2018
    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.

Joseph K AwinoDepartment of Chemistry, Iowa State University , Ames, Iowa 50011-3111, United States.
Roshan W GunasekaraDepartment of Chemistry, Iowa State University , Ames, Iowa 50011-3111, United States.
Yan ZhaoDepartment of Chemistry, Iowa State University , Ames, Iowa 50011-3111, United States.

Funding

Biomimetic Receptors for Small Hydrophobic Drugs, Carbohydrates, and OligopeptidesR01GM113883 · NIGMS · IOWA STATE UNIVERSITY · PI ZHAO, YAN · 2015 to 2018
$1.1M
NIGMS NIH HHS R01 GM113883
6 · The paper itself

Abstract

Molecular imprinting within cross-linked micelles using 4-vinylphenylboronate derivatives of carbohydrates provided water-soluble nanoparticle receptors selective for the carbohydrate templates. Complete differentiation of d-aldohexoses could be achieved by these receptors if a single inversion of hydroxyl occurred at C2 or C4 of the sugar or if two or more inversions took place. Glycosides with a hydrophobic aglycan displayed stronger binding due to increased hydrophobic interactions.

Indexed as

MicellesBoronic AcidsCarbohydratesCross-Linking ReagentsGlycosidesHexosesHydrophobic and Hydrophilic InteractionsKineticsMannoseMolecular ImprintingNanoparticlesPolymersProtein BindingThermodynamicsWaterBoronic AcidsCarbohydratesCross-Linking ReagentsGlycosidesHexosesMannoseMicellesPolymersWater

Identifiers

PMID27442012
PMCPMC4982515

What OpenQuestion holds

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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.