Evidence map›Paper›PMID 38656511›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Studying Plant Specialized Metabolites Using Computational Metabolomics Strategies.

Lana Mutabdžija, Akhona Myoli, Niek F de Jonge, Tito Damiani, Robin Schmid, Justin J J van der Hooft, Fidele Tugizimana, Tomáš Pluskal

Erratum issuedAbstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Lana MutabdžijaInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.
Akhona MyoliDepartment of Biochemistry, University of Johannesburg, Johannesburg, South Africa.
Niek F de JongeBioinformatics Group, Wageningen University & Research, Wageningen, the Netherlands.
Tito DamianiInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.
Robin SchmidInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.
Justin J J van der HooftDepartment of Biochemistry, University of Johannesburg, Johannesburg, South Africa.
Fidele TugizimanaDepartment of Biochemistry, University of Johannesburg, Johannesburg, South Africa.
Tomáš PluskalInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia. tomas.pluskal@uochb.cas.cz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant specialized metabolites have diversified vastly over the course of plant evolution, and they are considered key players in complex interactions between plants and their environment. The chemical diversity of these metabolites has been widely explored and utilized in agriculture and crop enhancement, the food industry, and drug development, among other areas. However, the immensity of the plant metabolome can make its exploration challenging. Here we describe a protocol for exploring plant specialized metabolites that combines high-resolution mass spectrometry and computational metabolomics strategies, including molecular networking, identification of structural motifs, as well as prediction of chemical structures and metabolite classes.

Indexed as

Mass SpectrometryMetabolomeMetabolomicsPlantsComputational BiologyGNPSMolecular networkingMS2LDAMS2QueryMZminePlant metabolomicsSIRIUSSpecialized metabolites

Identifiers

PMID38656511

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.