Evidence map›Paper›PMID 41838041›Full record

ArticleThe Journal of organic chemistry2026

Reaction Products Revised and Mechanisms Revisited with Machine Learning-Augmented Computational NMR.

Srinivas Beduru, Enoch Asimbisa, Ivan M Novitskiy, Andrei G Kutateladze

Abstract read
In one paragraph

Article in The Journal of organic chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Srinivas BeduruDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado 80208, United States.
Enoch AsimbisaDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado 80208, United States.
Ivan M NovitskiyDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado 80208, United States.ORCID 0000-0002-2675-3348
Andrei G KutateladzeDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado 80208, United States.ORCID 0000-0003-3066-517X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DU8ML, a fast and accurate machine learning-augmented DFT method for computing NMR spectra, has proven effective for high-throughput revision of misassigned natural products. In this paper, we continue with another important underexplored challenge: revision of incorrect product structures of reported organic reactions, often necessitating correction of reaction mechanisms.

Identifiers

PMID41838041
PMCPMC13036792

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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.