<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>39(24)</volume><submitter>Lima NM</submitter><funding>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)</funding><funding>Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)</funding><pubmed_abstract>&lt;h4>Rationale&lt;/h4>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.&lt;h4>Methods&lt;/h4>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</pubmed_abstract><journal>Rapid communications in mass spectrometry : RCM</journal><pagination>e10145</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12454732</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>From MS1 to Structure: A Van Krevelen-DBE-Aromaticity-Based Framework for Annotating Specialized Metabolites via High-Resolution Mass Spectrometry.</pubmed_title><pmcid>PMC12454732</pmcid><pubmed_authors>Oliveira RA</pubmed_authors><pubmed_authors>Tironi LS</pubmed_authors><pubmed_authors>Asghar S</pubmed_authors><pubmed_authors>Costa ML</pubmed_authors><pubmed_authors>Pereira LA</pubmed_authors><pubmed_authors>do Carmo MPG</pubmed_authors><pubmed_authors>da Silva VF</pubmed_authors><pubmed_authors>Lima NM</pubmed_authors></additional><is_claimable>false</is_claimable><name>From MS1 to Structure: A Van Krevelen-DBE-Aromaticity-Based Framework for Annotating Specialized Metabolites via High-Resolution Mass Spectrometry.</name><description>&lt;h4>Rationale&lt;/h4>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.&lt;h4>Methods&lt;/h4>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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-05-30T03:10:47.055Z</modification><creation>2026-05-30T03:06:54.36Z</creation></dates><accession>S-EPMC12454732</accession><cross_references><pubmed>40984024</pubmed><doi>10.1002/rcm.10145</doi></cross_references></HashMap>