About FAIR-TPs

Explore FAIR transformation products & metabolites collated from open and trusted sources

FAIR-TPs offers a clean interface to literature-based transformations, with transparent provenance and reuse in mind.

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Primary sources

What is FAIR-TPs?

An interface to explore transformations and metabolites with openness, traceability, and reuse at its core.

Data sources

Combined annotations from ChEMBL and NORMAN-SLE, integrating biochemical and environmental transformation data.

Contribute

Share new transformations via the FAIR template CSV and Contact us to integrate your data.

Preprint ChemRxiv
Our latest preprint

Browsing FAIR Transformation Product Information with FAIR-TPs

Bashir Mayahi · Emma Palm · Emma Schymanski 28 Dec 2025 10.26434/chemrxiv-2025-lgbnq

We introduce FAIR-TPs: an open, literature-based resource to browse transformation products and metabolites, connect precursor→product pathways, and explore transformation networks with clear provenance.

Read on ChemRxiv

Collect

Aggregate transformations from public sources with clear provenance.

Visualize

Browse full reaction networks and direct neighbours interactively.

Link

Graph-connect precursors, products, enzymes, and evidence.

Explore

Browse, filter, and export subsets for analysis and reuse.

FAIR-TPs is a website to browse transformation products (TPs) and metabolites documented in literature, collated from several open resources. Currently, it is a user interface to the full dataset of Transformations in PubChem, which is a combined dataset formed from transformations associated with ChEMBL and the NORMAN-SLE. The code used to collate this data is available on the ECI GitLab, and the contents are summarized in this README.

The term "transformation product" is used instead of "metabolite" since many of the transformations (reactions) come from environmental data, where they may be biotic or abiotic reactions (and thus not technically always the result of metabolism). Several reactions also involve treatment techniques - in other words, they may not be expected to occur under natural conditions. The NORMAN-SLE datasets are described in Mohammed Taha et al (2022) DOI: 10.1186/s12302-022-00680-6, while a Findable, Accessible, Interoperable, Reusable (FAIR) template to contribute data is available here, as described in Schymanski and Bolton (2022) DOI: 10.1093/exposome/osab006. Please see the contact page for details on how to contribute data.

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