Structure-centric searching enables global mapping of the public metabolome

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Authors: Yasin El Abiead, Jeong In Seo, Vincent Charron‐Lamoureux, Michael Strobel, Wilhan Donizete Gonçalves Nunes, Haoqi Nina Zhao, Kine Eide Kvitne, Simone Zuffa, Helena Mannochio-Russo, Harsha Gouda, Cristina Bez, Abubaker Patan
+19 more Shipei Xing, Jasmine Zemlin, Ipsita Mohany, Julius Agongo, Andres Mauricio Caraballo Rodriguez, Lindsey A. Burnett, Victoria Deleray, Abzer K Pakkir Shah, Jarmo-Charles Kalinski, Daniel Petras, ‪Nikiforos Alygizakis, Jeremy Carver, Özgür Yürekten, Thomas Payne, Eoin Fahy, Shankar Subramaniam, Juan Antonio Vizcaíno, M. C. Wang, Pieter C. Dorrestein
Cited by: 3
References: 34

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.

Fields of Study & Subjects

Metabolomics and Mass Spectrometry Studies Computational Drug Discovery Methods Cell Image Analysis Techniques

Publication details

Journal / source
Nature Biotechnology
Publisher
Springer Science and Business Media LLC
Publication date
15 April 2026
Language
EN