Evidence map›Paper›PMID 34697368›Full record

ArticleScientific reports2021

Molecular search by NMR spectrum based on evaluation of matching between spectrum and molecule.

Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Seokho Kang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Can Graph Machines Accurately EstimateMolecules (Basel, Switzerland) · 2024
    Article
  2. Deconvolution and Analysis of theJournal of chemical information and modeling · 2024
    Article
  3. Problems, principles and progress in computational annotation of NMR metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  4. 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

4 authors.

Youngchun KwonSamsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Yeongtong-gu, Suwon, 16678, Republic of Korea.
Dongseon LeeSamsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Yeongtong-gu, Suwon, 16678, Republic of Korea.
Youn-Suk ChoiSamsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Yeongtong-gu, Suwon, 16678, Republic of Korea. ysuk.choi@samsung.com.
Seokho KangDepartment of Industrial Engineering, Sungkyunkwan University, Jangan-gu, Suwon, 16419, Republic of Korea. s.kang@skku.edu.

Funding

National Research Foundation of Korea NRF-2019R1A4A1024732National Research Foundation of Korea NRF-2020R1C1C1003232
6 · The paper itself

Abstract

Inferring molecular structures from experimentally measured nuclear magnetic resonance (NMR) spectra is an important task in many chemistry applications. Herein, we present a novel method implementing an automated molecular search by NMR spectrum. Given a query spectrum and a pool of candidate molecules, the matching score of each candidate molecule with respect to the query spectrum is evaluated by introducing a molecule-to-spectrum estimation procedure. The candidate molecule with the highest matching score is selected. This procedure does not require any prior knowledge of the corresponding molecular structure nor laborious manual efforts by chemists. We demonstrate the effectiveness of the proposed method on molecular search using

Identifiers

PMID34697368
PMCPMC8546062

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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.