Evidence map›Paper›PMID 34984416›Full record

ReviewJACS Au2021

Toward Glycomaterials with Selectivity as Well as Affinity.

Sarah-Jane Richards, Matthew I Gibson

Open access · goldAbstract readReview
In one paragraph

Review in JACS Au, 2021. 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
1.9field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. A 3D Peptide/[60]Fullerene Hybrid for Multivalent Recognition.Angewandte Chemie (International ed. in English) · 2022
    Article
  14. Article
  15. On the Origin of Sugar Handedness: Facts, Hypotheses and Missing Links-A Review.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2022
    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 at 1 institution in 1 country.

Sarah-Jane RichardsDepartment of Chemistry, University of Warwick, Coventry CV4 7AL, U.K.
Matthew I GibsonDepartment of Chemistry, University of Warwick, Coventry CV4 7AL, U.K.ORCID https://orcid.org/0000-0002-8297-1278
University of Warwick · GB

Funding

Structural Basis of Immune Recognition of Glycosylated AntigensU54GM062116 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI VAN KOOYK, YVETTE · 2001 to 2010
$80.3M
Protein-Glycan Interaction Resource of the CFGR24GM098791 · NIGMS · EMORY UNIVERSITY · PI CUMMINGS, RICHARD D, PAULSON, JAMES C · 2011 to 2013
$2.6M
European Research Council 866056NIGMS NIH HHS R24 GM098791NIGMS NIH HHS U54 GM062116
6 · The paper itself

Abstract

Multivalent glycosylated materials (polymers, surfaces, and particles) often show high affinity toward carbohydrate binding proteins (e.g., lectins) due to the nonlinear enhancement from the cluster glycoside effect. This affinity gain has potential in applications from diagnostics, biosensors, and targeted delivery to anti-infectives and in an understanding of basic glycobiology. This perspective highlights the question of selectivity, which is less often addressed due to the reductionist nature of glycomaterials and the promiscuity of many lectins. The use of macromolecular features, including architecture, heterogeneous ligand display, and the installation of non-natural glycans, to address this challenge is discussed, and examples of selectivity gains are given.

Identifiers

PMID34984416
PMCPMC8717392
OpenAlexW3205562704

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.