Structure-centric searching enables global mapping of the public metabolome

Searching and learning from aggregated public metabolomics data spanning thousands of studies remained largely inaccessible. Here we present StructureMASST, a web-based application enabling scalable, structure-centric searches across public metabolomics repositories using molecule names or chemical representations. It queries a precomputed knowledgebase of 2.19 billion spectral matches and 420 million metadata links, supports modification-tolerant and mass-shift searches, and maps chemical structures across taxonomy, biological context and environmental conditions to accelerate discovery.

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Publication Details

Journal
Nature Biotechnology
Published
2026-04-15
DOI
https://doi.org/10.1038/s41587-026-03082-8
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Structure-centric searching enables global mapping of the public metabolome

Lindsey A. Burnett, Yasin El Abiead, Daniel Petras, Eoin Fahy et al.
Nature Biotechnology
Metabolomics and Mass Spectrometry Studies
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Structure-centric searching enables global mapping of the public metabolome

Lindsey A. Burnett, Yasin El Abiead, Daniel Petras, Eoin Fahy, M. C. Wang, Jeong In Seo, Juan Antonio Vizcaíno, Harsha Gouda, Julius Agongo, Helena Mannochio-Russo, ‪Nikiforos Alygizakis, Shipei Xing, Özgür Yürekten, Kine Eide Kvitne, Pieter C. Dorrestein, Vincent Charron‐Lamoureux, Simone Zuffa, Victoria Deleray, Andres Mauricio Caraballo Rodriguez, Haoqi Nina Zhao, Abzer K Pakkir Shah, Thomas Payne, Ipsita Mohany, Jasmine Zemlin, Jarmo-Charles Kalinski, Shankar Subramaniam, Wilhan Donizete Gonçalves Nunes, Michael Strobel, Abubaker Patan, Jeremy Carver, Cristina Bez
article en

Abstract

Searching and learning from aggregated public metabolomics data spanning thousands of studies remained largely inaccessible. Here we present StructureMASST, a web-based application enabling scalable, structure-centric searches across public metabolomics repositories using molecule names or chemical representations. It queries a precomputed knowledgebase of 2.19 billion spectral matches and 420 million metadata links, supports modification-tolerant and mass-shift searches, and maps chemical structures across taxonomy, biological context and environmental conditions to accelerate discovery.

Nature Biotechnology
University of California, Riverside (US), European Bioinformatics Institute (GB), Pennsylvania State University (US), San Diego Supercomputer Center (US), Rhodes University (ZA), University of California San Diego (US), Environmental Institute (SK), University of Montana (US), University of Tübingen (DE), International Centre for Genetic Engineering and Biotechnology (IT), BOKU University (AT)
Österreichischen Akademie der Wissenschaften, National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 17%
Metabolomics and Mass Spectrometry Studies
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