Evidence map›Paper›PMID 33057503›Full record

ReviewChemical communications (Cambridge, England)2020

Quantification of binding affinity of glyconanomaterials with lectins.

Sajani H Liyanage, Mingdi Yan

Abstract readReview
In one paragraph

Review in Chemical communications (Cambridge, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Carbohydrate-based biosensors for enhanced pathogen detection.Analytical and bioanalytical chemistry · 2026
    Review
  3. CGL, a Lectin fromInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. Molecular Tweezers for Biomimetic Recognition of Carbohydrates.Chembiochem : a European journal of chemical biology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. From structure to function - Ligand recognition by myeloid C-type lectin receptors.Computational and structural biotechnology journal · 2022
    Review
  13. Article
  14. Article
  15. Review
  16. 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

2 authors.

Sajani H LiyanageDepartment of Chemistry, University of Massachusetts Lowell, 1 University Ave., Lowell, Massachusetts 01854, USA. Mingdi_yan@uml.edu.
Mingdi Yan

Funding

Interaction and uptake of nanoparticles by bacteria mediated by unique sugarsR15GM128164 · NIGMS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI YAN, MINGDI · 2018 to 2018
$455k
NIGMS NIH HHS R15 GM128164
6 · The paper itself

Abstract

Carbohydrate-mediated interactions are involved in many cellular activities including immune responses and infections. These interactions are relatively weak, and as such, cells employ multivalency, i.e., the presentation of multiple monovalent carbohydrate ligands within a close proximity, for cooperative binding thus drastically enhanced binding affinity. In the past two decades, the field of glyconanomaterials has emerged where nanomaterials are used as multivalent scaffolds to present multiple copies of carbohydrate ligands on the nanomaterial surface. At the core of glyconanomaterial research is the ability to control and modulate multivalency through ligand display. For the quantitative evaluation of multivalency, the binding affinity must be determined. Quantification of the binding parameters provides insights for not only the fundamental glyconanomaterial-lectin interactions, but also the rational design of effective diagnostics and therapeutics. Several methods have been developed to determine the binding affinity of glyconanomaterials with lectins, including fluorescence competitive assays in solution or on microarrays, Förster resonance energy transfer, fluorescence quenching, isothermal titration calorimetry, surface plasmon resonance spectroscopy, quartz crystal microbalance and dynamic light scattering. This Feature Article discusses each of these techniques, as well as how each technique is applied to determine the binding affinity of glyconanomaterials with lectins, and the data analysis. Although the results differed depending on the specific method used, collectively, they showed that nanomaterials as multivalent scaffolds could amplify the binding affinity of carbohydrate-lectin interactions by several orders of magnitude, the extent of which depending on the structure of the carbohydrate ligand, the ligand density, the linker length and the particle size.

Indexed as

Binding SitesCarbohydratesFluorescenceLectinsCarbohydratesLectins

Identifiers

PMID33057503
PMCPMC7644678

What OpenQuestion holds

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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.