Evidence map›Paper›PMID 27571918›Full record

ArticleNature communications2016

The WEIZMASS spectral library for high-confidence metabolite identification.

Nir Shahaf, Ilana Rogachev, Uwe Heinig, Sagit Meir, Sergey Malitsky, Maor Battat, Hilary Wyner, Shuning Zheng, Ron Wehrens, Asaph Aharoni

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. The MassBank contributions of the mFam collaboration.Metabolomics : Official journal of the Metabolomic Society · 2026
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  2. Confrontations betweenApplied and environmental microbiology · 2026
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  11. Natural Products Dereplication: Databases and Analytical Methods.Progress in the chemistry of organic natural products · 2024
    Review
  12. Article
  13. Plant and microbial sciences as key drivers in the development of metabolomics research.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Review
  14. Article
  15. Article
  16. Databases and Tools to Investigate Protein-Metabolite Interactions.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. The critical role that spectral libraries play in capturing the metabolomics community knowledge.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  18. Article
  19. Environmental science and ecotechnology · 2022
    Review
  20. 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

10 authors.

Nir ShahafDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Ilana RogachevDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Uwe HeinigDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Sagit MeirDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Sergey MalitskyDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Maor BattatDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Hilary WynerDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Shuning ZhengDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.
Ron WehrensResearch and Innovation Centre, Fondazione E. Mach, San Michele all'Adige, 38010 Trento, Italy.
Asaph AharoniDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, PO Box 26, Rehovot 7610001, Israel.

Funding

European Research Council
6 · The paper itself

Abstract

Annotation of metabolites is an essential, yet problematic, aspect of mass spectrometry (MS)-based metabolomics assays. The current repertoire of definitive annotations of metabolite spectra in public MS databases is limited and suffers from lack of chemical and taxonomic diversity. Furthermore, the heterogeneity of the data prevents the development of universally applicable metabolite annotation tools. Here we present a combined experimental and computational platform to advance this key issue in metabolomics. WEIZMASS is a unique reference metabolite spectral library developed from high-resolution MS data acquired from a structurally diverse set of 3,540 plant metabolites. We also present MatchWeiz, a multi-module strategy using a probabilistic approach to match library and experimental data. This strategy allows efficient and high-confidence identification of dozens of metabolites in model and exotic plants, including metabolites not previously reported in plants or found in few plant species to date.

Indexed as

MetabolomeComputational BiologyMass SpectrometryMetabolomicsMolecular StructurePlantsSmall Molecule LibrariesSmall Molecule Libraries

Identifiers

PMID27571918
PMCPMC5013563

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.