Evidence map›Paper›PMID 40146926›Full record

ReviewChembiochem : a European journal of chemical biology2025

Molecular Tweezers for Biomimetic Recognition of Carbohydrates.

Francesco Milanesi, Naufia Mohamedzakaria Shibinasbarveen, Stefano Roelens, Oscar Francesconi

Abstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Francesco MilanesiDepartment of Chemistry "Ugo Schiff" DICUS, Università degli Studi di Firenze, Via della Lastruccia 13, SestoFiorentino, I-50019, Firenze, Italy.ORCID https://orcid.org/0000-0002-1981-5811
Naufia Mohamedzakaria ShibinasbarveenDepartment of Chemistry "Ugo Schiff" DICUS, Università degli Studi di Firenze, Via della Lastruccia 13, SestoFiorentino, I-50019, Firenze, Italy.ORCID https://orcid.org/0009-0009-6677-9305
Stefano RoelensDepartment of Chemistry "Ugo Schiff" DICUS, Università degli Studi di Firenze, Via della Lastruccia 13, SestoFiorentino, I-50019, Firenze, Italy.ORCID https://orcid.org/0000-0002-9763-3263
Oscar FrancesconiDepartment of Chemistry "Ugo Schiff" DICUS, Università degli Studi di Firenze, Via della Lastruccia 13, SestoFiorentino, I-50019, Firenze, Italy.ORCID https://orcid.org/0000-0002-6155-4926

Funding

European Union's Horizon Research and Innovation 101119492MUR
6 · The paper itself

Abstract

Molecular recognition of biomolecules by means of synthetic receptors is a key topic with several potential applications, which must face the challenge of recognizing relatively large guests in an aqueous medium. Due to their open cavity, molecular tweezers are promising architectures for this purpose that have already shown interesting recognition properties with lipids, nucleic acids, and proteins, thereby eliciting biological activities. Carbohydrates, assembled within glycans, are polar biomolecules of high structural complexity that are particularly difficult to be effectively recognized in water. Notably, in addition to reports on more widely explored structures, significant advances have been achieved exploiting the structural peculiarity of tweezer receptors. In this review a selection of some emblematic examples from the literature of molecular tweezers, cleft and clips targeting carbohydrates is presented, together with a discussion of the advantages and limitations of this type of architecture.

Indexed as

Biomimetic MaterialsBiomimeticsCarbohydratesPolysaccharidesCarbohydratesPolysaccharidescarbohydrateshost‐guestmolecular recognitionmolecular tweezersoligosaccharides

Identifiers

PMID40146926
PMCPMC12135133

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.