arrow
Return

MultiMS2: A curated multi-modal, multi-energy spectral library for metabolomics

delete2026-06-10
delete0
delete
OA
AI
A
Adriano Rutz
M
Mario S P Correia
N
Nicola Zamboni *
DOI:10.1093/gigascience/giag069delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Spectral libraries are essential for mass spectrometry-based metabolomics, enabling accurate metabolite annotation. Collision-induced dissociation (CID) dominates existing public libraries, but is rarely sufficient for structural elucidation. Electron-activated dissociation (EAD) provides complementary, radical-driven fragmentation, but remains sparsely represented. The lack of datasets spanning multiple dissociation mechanisms, energies, and ionization modes limits both analytical workflows and the development of robust machine learning models.

Journal

GigaScience cover
GigaScience
IF:
3.9
Papers:
1.6K
Citations:
1.2W

Organization

E
eth zürich
Scholars:
1.5K
Papers: 558
Citations: 1