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ABSTRACT: Rationale
Classifying specialized metabolites in untargeted metabolomics remains a major challenge, particularly when relying solely on high-resolution mass spectrometry (HRMS) data at the MS1 level. Traditional approaches using Van Krevelen diagrams often lack sufficient resolution to distinguish structurally similar metabolite classes.Methods
We developed a chemoinformatic framework that combines Van Krevelen analysis (H/C vs. O/C) with double bond equivalent (DBE) calculations to refine metabolite class annotation at Level 3 of the Metabolomics Standards Initiative (MSI). Molecular formulas were retrieved from curated structure databases and natural product repositories, and DBE values were used to refine structural classification. A dataset of over 600 curated molecular
SUBMITTER: Lima NM
PROVIDER: S-EPMC12454732 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature