Evidence map›Paper›PMID 39982987›Full record

ArticleScience advances2025

Nitrene-mediated glycosylation with thioglycoside donors under metal catalysis.

Ziqian Bai, Zenghui Wei, Shiyang Zhu, Gang He, Hao Wang, Gong Chen

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Ziqian BaiState Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.ORCID 0000-0002-3623-7750
Zenghui WeiState Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.
Shiyang ZhuState Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.ORCID 0000-0002-9751-2103
Gang HeState Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.ORCID 0000-0002-9064-3418
Hao WangState Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.ORCID 0000-0002-3831-2988
Gong ChenState Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.ORCID 0000-0002-5067-9889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycosylation chemistry plays a pivotal role in glycoscience. Recent substantial developments have poised the field to address emerging challenges related to sustainability, cost efficiency, and robust applicability in complex substrate settings. The transition from stoichiometric activation to metal-catalyzed methods promises enhanced chemoselectivity and greater precision in controlling glycosidic bond breakage and formation, key to overcoming existing obstacles. Here, we report a nitrene-mediated glycosylation strategy using regular aryl sulfide glycosyl donors and easily accessible 3-methyl dioxazolone as an activator under the catalysis of iron or ruthenium. The iron-catalyzed system demonstrates exceptional catalytic reactivity, requiring as little as 0.1 mole % of catalyst at room temperature, and works well for complex peptide substrates. The ruthenium-catalyzed system can accommodate acid-sensitive functional groups and challenging low-reactivity acceptors. Mechanistic investigations have unveiled unusual multistep pathways involving sulfur imidation of sulfide donors via nitrene transfer and sulfur-to-oxygen rearrangement of

Identifiers

PMID39982987
PMCPMC11844731

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Registered trials

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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.