Evidence map›Paper›PMID 39866614›Full record

ArticleACS omega2025

Modeling of the Carbohydrate Oxacarbenium Ionic Intermediates of Glycosylation Reactions with Explicit Account for Protective Group Effects.

Alexey G Gerbst, Bozhena S Komarova, Artem N Vlasenko, Nikolay E Nifantiev

Abstract read
In one paragraph

Article in ACS omega, 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. The intramolecular stabilizing effects ofBeilstein journal of organic chemistry · 2025
    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.

Alexey G GerbstLaboratory of Glycoconjugate Chemistry, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow 119991, Russia.
Bozhena S KomarovaLaboratory of Glycoconjugate Chemistry, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow 119991, Russia.
Artem N VlasenkoLaboratory of Glycoconjugate Chemistry, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow 119991, Russia.ORCID https://orcid.org/0000-0002-8820-9954
Nikolay E NifantievLaboratory of Glycoconjugate Chemistry, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow 119991, Russia.ORCID https://orcid.org/0000-0002-0727-4050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

O-Protected oxacarbenium ions are key intermediates of glycosylation reactions. The knowledge of their conformational preferences is crucial for choosing the correct blocking group pattern to achieve the required stereochemical outcome. This article describes a computational study of several glucosyl oxacarbenium cations. The primary aim was to address the challenge of modeling oxacarbenium structures with all explicit O-blocking groups present instead of their simplified models. There exists no physical method to directly measure the energy of such structures. Therefore, the DLPNO-CCSD(T) method was used as a reference, which is considered to give the most exact results, however, without the possibility of geometry optimizations. Three DFT methods were tried to compare their values to those computed with DLPNO-CCSD(T). Finally, the B3LYP-D3 combination is suggested as the best recommendation for future studies of complex carbohydrate reaction intermediates with explicit protective groups. Possible reasons for the relative stability of different conformers of glycosyl cations are discussed in terms of SCF and electron correlation energies. The results of the B3LYP-D3 method show a good correlation with several model glycosylation reactions.

Identifiers

PMID39866614
PMCPMC11755171

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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.