Evidence map›Paper›PMID 24957998›Full record

ArticleMetabolites2013

CASMI-The Small Molecule Identification Process from a Birmingham Perspective.

J William Allwood, Ralf J M Weber, Jiarui Zhou, Shan He, Mark R Viant, Warwick B Dunn

Abstract read
In one paragraph

Article in Metabolites, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Solving CASMI 2013 with MetFrag, MetFusion and MOLGEN-MS/MS.Mass spectrometry (Tokyo, Japan) · 2014
    Article
  6. Article
  7. 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

6 authors.

J William AllwoodSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. j.w.allwood@bham.ac.uk.
Ralf J M WeberSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. r.j.weber@bham.ac.uk.
Jiarui ZhouCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China. jrzhou@me.com.
Shan HeSchool of Computer Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. s.he@cs.bham.ac.uk.
Mark R ViantSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. m.viant@bham.ac.uk.
Warwick B DunnSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. w.dunn@bham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Critical Assessment of Small Molecule Identification (CASMI) contest was developed to provide a systematic comparative evaluation of strategies applied for the annotation and identification of small molecules. The authors participated in eleven challenges in both category 1 (to deduce a molecular formula) and category 2 (to deduce a molecular structure) related to high resolution LC-MS data. For category 1 challenges, the PUTMEDID_LCMS workflows provided the correct molecular formula in nine challenges; the two incorrect submissions were related to a larger mass error in experimental data than expected or the absence of the correct molecular formula in a reference file applied in the PUTMEDID_LCMS workflows. For category 2 challenges, MetFrag was applied to construct in silico fragmentation data and compare with experimentally-derived MS/MS data. The submissions for three challenges were correct, and for eight challenges, the submissions were not correct; some submissions showed similarity to the correct structures, while others showed no similarity. The low number of correct submissions for category 2 was a result of applying the assumption that all chemicals were derived from biological samples and highlights the importance of knowing the origin of biological or chemical samples studied and the metabolites expected to be present to define the correct chemical space to search in annotation processes.

Identifiers

PMID24957998
PMCPMC3901277

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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.