Evidence map›Paper›PMID 23453222›Full record

ArticleJournal of cheminformatics2013

Computational mass spectrometry for small molecules.

Kerstin Scheubert, Franziska Hufsky, Sebastian Böcker

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Discovering New Natural Products Using Metabolomics-Based Approaches.Advances in experimental medicine and biology · 2023
    Article
  14. Metabolic profiling ofFrontiers in plant science · 2023
    Article
  15. Gramiketides, Novel Polyketide Derivatives ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  16. Resolving isobaric interferences in direct infusion tandem mass spectrometry.Rapid communications in mass spectrometry : RCM · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Review

3 more citing papers are in PubMed but not listed here.

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

3 authors.

Kerstin ScheubertChair of Bioinformatics, Friedrich Schiller University, Ernst-Abbe-Platz 2, Jena, Germany. kerstin.scheubert@uni-jena.de.
Franziska Hufsky
Sebastian Böcker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

: The identification of small molecules from mass spectrometry (MS) data remains a major challenge in the interpretation of MS data. This review covers the computational aspects of identifying small molecules, from the identification of a compound searching a reference spectral library, to the structural elucidation of unknowns. In detail, we describe the basic principles and pitfalls of searching mass spectral reference libraries. Determining the molecular formula of the compound can serve as a basis for subsequent structural elucidation; consequently, we cover different methods for molecular formula identification, focussing on isotope pattern analysis. We then discuss automated methods to deal with mass spectra of compounds that are not present in spectral libraries, and provide an insight into de novo analysis of fragmentation spectra using fragmentation trees. In addition, this review shortly covers the reconstruction of metabolic networks using MS data. Finally, we list available software for different steps of the analysis pipeline.

Identifiers

PMID23453222
PMCPMC3648359

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.