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Navigating the conjugated metabolome

We mined 1.32 billion MS/MS spectra across public metabolomics repositories using reverse spectral searching and delta-mass infererence to map metabolite conjugations. We generated structural hypotheses for 24,227,439 spectra, encompassing 217,291 substructure pairs with dual spectral support and 3,412,720 additional candidates with single-match support. These results provide a pan-repository map of potential conjugation chemistry, establish a resource for structural discovery, and offer a framework to further explore the scope and diversity of the conjugated metabolome.

Reverse spectral search

Reverse spectral search is an MS/MS similarity framework originally proposed for spectral identification and later extended to improve robustness to chimeric spectra. Here, we repurpose reverse spectral searching for substructure annotation. Two implementations of reverse cosine similarity were provided:

In both implementations, both the similarity score and the number of matched peaks will be output. Codes were tested using Python 3.10 on macOS (14.6, M2 Max) and Linux (Ubuntu 20.04). Packages of numpy and numba are required. For the matchms-based implementation, each spectral comparison takes several milliseconds.

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Citation

Xing, S. et al. Navigating the conjugated metabolome. Preprint at https://doi.org/10.64898/2026.02.06.704496 (2026).

License

This work is licensed under the Apache License 2.0.

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Repository-scale exploration of the conjugated metabolome

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