Evidence map›Paper›PMID 33769821›Full record

ArticleThe Journal of organic chemistry2021

Computational Exploration of Ambiphilic Reactivity of Azides and Sustmann's Paradigmatic Parabola.

Pan-Pan Chen, Pengchen Ma, Xue He, Dennis Svatunek, Fang Liu, Kendall N Houk

Open access · hybridAbstract read
In one paragraph

Article in The Journal of organic chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Pan-Pan ChenDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095-1569, United States.
Pengchen MaDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095-1569, United States.
Xue HeCollege of Sciences, Nanjing Agricultural University, Nanjing 210095, China.
Dennis SvatunekDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095-1569, United States.ORCID 0000-0003-1101-2376
Fang LiuCollege of Sciences, Nanjing Agricultural University, Nanjing 210095, China.
Kendall N HoukDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095-1569, United States.ORCID 0000-0002-8387-5261
University of California, Los Angeles · USNanjing Agricultural University · CN

Funding

Austrian Science Fund FWF J 4216
6 · The paper itself

Abstract

We examine the theoretical underpinnings of the seminal discoveries by Reiner Sustmann about the ambiphilic nature of Huisgen's phenyl azide cycloadditions. Density functional calculations with ωB97X-D and B2PLYP-D3 reproduce the experimental data and provide insights into ambiphilic control of reactivity. Distortion/interaction-activation strain and energy decomposition analyses show why Sustmann's use of dipolarophile ionization potential is such a powerful predictor of reactivity. We add to Sustmann's data set several modern distortion-accelerated dipolarophiles used in bioorthogonal chemistry to show how these fit into the orbital energy criteria that are often used to understand cycloaddition reactivity. We show why such a simple indicator of reactivity is a powerful predictor of reaction rates that are actually controlled by a combination of distortion energies, charge transfer, closed-shell repulsion, polarization, and electrostatic effects.

Indexed as

AzidesCycloaddition ReactionPhysical PhenomenaStatic ElectricityAzides

Identifiers

PMID33769821
PMCPMC8154615
OpenAlexW3136236759

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.