Evidence map›Paper›PMID 30977652›Full record

ArticleThe Journal of organic chemistry2019

Structure Determination of a Chloroenyne from Laurencia majuscula Using Computational Methods and Total Synthesis.

Erin D Shepherd, Bryony S Dyson, William E Hak, Quynh Nhu N Nguyen, Miseon Lee, Mi Jung Kim, Te-Ik Sohn, Deukjoon Kim, Jonathan W Burton, Robert S Paton

Abstract read
In one paragraph

Article in The Journal of organic chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Naturally Occurring Organohalogen Compounds-A Comprehensive Review.Progress in the chemistry of organic natural products · 2023
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

10 authors.

Erin D ShepherdChemistry Research Laboratory, Department of Chemistry , University of Oxford , Mansfield Road , Oxford OX1 3TA , United Kingdom.
Bryony S DysonChemistry Research Laboratory, Department of Chemistry , University of Oxford , Mansfield Road , Oxford OX1 3TA , United Kingdom.
William E HakChemistry Research Laboratory, Department of Chemistry , University of Oxford , Mansfield Road , Oxford OX1 3TA , United Kingdom.
Quynh Nhu N NguyenChemistry Research Laboratory, Department of Chemistry , University of Oxford , Mansfield Road , Oxford OX1 3TA , United Kingdom.
Miseon LeeThe Research Institute of Pharmaceutical Sciences, College of Pharmacy , Seoul National University , Seoul 151-742 , Korea.
Mi Jung KimThe Research Institute of Pharmaceutical Sciences, College of Pharmacy , Seoul National University , Seoul 151-742 , Korea.
Te-Ik SohnThe Research Institute of Pharmaceutical Sciences, College of Pharmacy , Seoul National University , Seoul 151-742 , Korea.
Deukjoon KimThe Research Institute of Pharmaceutical Sciences, College of Pharmacy , Seoul National University , Seoul 151-742 , Korea.ORCID 0000-0003-4079-8734
Jonathan W BurtonChemistry Research Laboratory, Department of Chemistry , University of Oxford , Mansfield Road , Oxford OX1 3TA , United Kingdom.
Robert S PatonChemistry Research Laboratory, Department of Chemistry , University of Oxford , Mansfield Road , Oxford OX1 3TA , United Kingdom.ORCID 0000-0002-0104-4166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite numerous advances in spectroscopic methods through the latter part of the 20th century, the unequivocal structure determination of natural products can remain challenging, and inevitably, incorrect structures appear in the literature. Computational methods that allow the accurate prediction of NMR chemical shifts have emerged as a powerful addition to the toolbox of methods available for the structure determination of small organic molecules. Herein, we report the structure determination of a small, stereochemically rich natural product from Laurencia majuscula using the powerful combination of computational methods and total synthesis, along with the structure confirmation of notoryne, using the same approach. Additionally, we synthesized three further diastereomers of the L. majuscula enyne and have demonstrated that computations are able to distinguish each of the four synthetic diastereomers from the 32 possible diastereomers of the natural product. Key to the success of this work is to analyze the computational data to provide the greatest distinction between each diastereomer, by identifying chemical shifts that are most sensitive to changes in relative stereochemistry. The success of the computational methods in the structure determination of stereochemically rich, flexible organic molecules will allow all involved in structure determination to use these methods with confidence.

Indexed as

Alkyl and Aryl TransferasesAlkynesChemistry Techniques, SyntheticLaurenciaModels, MolecularMolecular ConformationStereoisomerismAlkyl and Aryl TransferasesAlkyneschloroenyne

Identifiers

PMID30977652
PMCPMC6503471

What OpenQuestion holds

Textmetadata
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.