Evidence map›Paper›PMID 35416661›Full record

ArticleJournal of the American Chemical Society2022

Martins Balodis, Manuel Cordova, Albert Hofstetter, Graeme M Day, Lyndon Emsley

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  11. Unraveling the Structure of Meclizine Dihydrochloride with MicroED.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Chemical Shift-Dependent Interaction Maps in Molecular Solids.Journal of the American Chemical Society · 2023
    Article
  16. A Machine Learning Model of Chemical Shifts for Chemically and Structurally Diverse Molecular Solids.The journal of physical chemistry. C, Nanomaterials and interfaces · 2022
    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

5 authors.

Martins BalodisInstitut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Manuel CordovaInstitut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.ORCID 0000-0002-8722-6541
Albert HofstetterInstitut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Graeme M DaySchool of Chemistry, University of Southampton, Highfield SO17 1BJ, Southampton, United Kingdom.ORCID 0000-0001-8396-2771
Lyndon EmsleyInstitut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.ORCID 0000-0003-1360-2572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determination of the three-dimensional atomic-level structure of powdered solids is one of the key goals in current chemistry. Solid-state NMR chemical shifts can be used to solve this problem, but they are limited by the high computational cost associated with crystal structure prediction methods and density functional theory chemical shift calculations. Here, we successfully determine the crystal structures of ampicillin, piroxicam, cocaine, and two polymorphs of the drug molecule AZD8329 using on-the-fly generated machine-learned isotropic chemical shifts to directly guide a Monte Carlo-based structure determination process starting from a random gas-phase conformation.

Indexed as

Magnetic Resonance ImagingMagnetic Resonance SpectroscopyMonte Carlo Method

Identifiers

PMID35416661
PMCPMC9052749

What OpenQuestion holds

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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.