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September 10, 2025Nature CommunicationsOpen Access

Knowledge and data-driven two-layer networking for accurate metabolite annotation in untargeted metabolomics

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Authors

HZHaosong ZhangChinese Academy of SciencesXZXue ZengChina West Normal UniversityYYYandong YinChinese Academy of Sciences

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Overview

Network-based approaches improve metabolite annotation accuracy and coverage, suggesting new discovery methods.

Key Points

  • The new networking strategy enables over 10-fold improvement in computational efficiency for metabolite annotation.
  • Integration of knowledge and data-driven networks allows for annotation of over 12,000 metabolites in biological samples.
  • The framework identifies two uncharacterized metabolites, indicating the potential for new discoveries in metabolomics.
  • Enhanced connectivity and coverage in the metabolic network improve overall metabolite annotation effectiveness.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68c1d9a154b1d3bfb60fbd20https://doi.org/10.1038/s41467-025-63536-6
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