Evidence map›Paper›PMID 37426225›Full record

ArticleACS omega2023

Theoretical Study on the Mechanism of Cobalt-Catalyzed C-O Silylation and Stannylation.

Cheng-Xing Cui, Jiali Peng, Jun Jiang

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2023. 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, top 91% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

3 authors at 3 institutions in 1 country.

Cheng-Xing CuiSchool of Chemistry and Chemical Engineering, Institute of Computational Chemistry, Henan Institute of Science and Technology, Xinxiang, Henan 453003, P. R. China.ORCID https://orcid.org/0000-0001-9632-5798
Jiali PengSchool of Chemistry and Chemical Engineering, Institute of Computational Chemistry, Henan Institute of Science and Technology, Xinxiang, Henan 453003, P. R. China.
Jun JiangZhengZhou JiShu Institute of AI Science, Zhengzhou, Henan 451162, P. R. China.ORCID https://orcid.org/0000-0002-6116-5605
Henan Institute of Science and Technology · CNUniversity of Science and Technology of China · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organosilicon and organotin compounds have been widely used in many fields, such as organic synthesis, materials science, and biochemistry, because of their unique physical and electronic properties. Recently, two novel compounds containing C-Si or C-Sn bonds have been synthesized. These compounds can be used for late modification of drug-like molecules such as probenecid, duloxetine, and fluoxetine derivatives. However, the detailed reaction mechanisms and the influencing factors that determine selectivity are still unclear. Moreover, several questions remain that are valuable to investigate further, such as (1) the influence of the solvent and the lithium salt on the reaction of the Si/Sn-Zn reagent, (2) the stereoselective functionalization of C-O bonds, and (3) the differences between silylation and stannylation. In the current study, we have explored the above issues with density functional theory and have found that stereoselectivity was most likely caused by the oxidative addition of cobalt to the C-O bond of alkenyl acetate with chelation assistance and that transmetalation was most likely the rate-determining step. For Sn-Zn reagents, the transmetalation was achieved by anion and cation pairs, whereas for Si-Zn reagents, the process was facilitated by Co-Zn complexes.

Identifiers

PMID37426225
PMCPMC10324068
OpenAlexW4380992643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.