Evidence map›Paper›PMID 31357673›Full record

ReviewBiomimetics (Basel, Switzerland)2019

Bioisosteres of Carbohydrate Functional Groups in Glycomimetic Design.

Rachel Hevey

Abstract readReview
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Unnatural C6-Substituted d-Galactosides as Attenuated Substrates of Glycosyl Hydrolases.Chembiochem : a European journal of chemical biology · 2026
    Article
  2. Synthetic Access to Fluorinated Analogs of a KnownACS organic & inorganic Au · 2026
    Article
  3. Article
  4. Article
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  6. Synthesis of Fluorinated Glycotope Mimetics Derived fromInternational journal of molecular sciences · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Obtaining PureThe Journal of organic chemistry · 2023
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
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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

1 author.

Rachel HeveyMolecular Pharmacy, Department Pharmaceutical Sciences, University of Basel, Klingelbergstr. 50, 4056 Basel, Switzerland. rachel.hevey@unibas.ch.ORCID 0000-0002-2649-3427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aberrant presentation of carbohydrates has been linked to a number of diseases, such as cancer metastasis and immune dysregulation. These altered glycan structures represent a target for novel therapies by modulating their associated interactions with neighboring cells and molecules. Although these interactions are highly specific, native carbohydrates are characterized by very low affinities and inherently poor pharmacokinetic properties. Glycomimetic compounds, which mimic the structure and function of native glycans, have been successful in producing molecules with improved pharmacokinetic (PK) and pharmacodynamic (PD) features. Several strategies have been developed for glycomimetic design such as ligand pre-organization or reducing polar surface area. A related approach to developing glycomimetics relies on the bioisosteric replacement of carbohydrate functional groups. These changes can offer improvements to both binding affinity (e.g., reduced desolvation costs, enhanced metal chelation) and pharmacokinetic parameters (e.g., improved oral bioavailability). Several examples of bioisosteric modifications to carbohydrates have been reported; this review aims to consolidate them and presents different possibilities for enhancing core interactions in glycomimetics.

Indexed as

bioisosterecarbohydratedrug designglycomimeticlectin

Identifiers

PMID31357673
PMCPMC6784292

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.