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Related Experiment Video

Updated: May 26, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Browsing FAIR Transformation Product Information with FAIR-TPs.

Bashir Mayahi1, Emma H Palm1, Emma L Schymanski1

  • 1Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 av du Swing, L-4367 Belvaux, Luxembourg.

ACS Environmental Au
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

FAIR-TPs is a new website that provides open access to transformation product data from literature, aiding scientists in identifying and understanding chemical transformations in environmental and human studies. This resource supports suspect screening and data gap analysis for complex reaction pathways.

Keywords:
AccessibleEnvironmental TransformationsFAIR (FindableInteroperableMetabolitesReactionsReusable)Transformation NetworksTransformation Products

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A Tactile Automated Passive-Finger Stimulator (TAPS)
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Last Updated: May 26, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
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Published on: July 30, 2020

A Tactile Automated Passive-Finger Stimulator (TAPS)
19:44

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Area of Science:

  • Environmental Chemistry
  • cheminformatics
  • Toxicology

Background:

  • Identifying transformation products (TPs) is crucial but challenging for environmental studies and chemical regulation.
  • Existing data on TPs is often fragmented and difficult to access.
  • Scientists need better tools to interpret complex chemical transformations and identify data gaps.

Purpose of the Study:

  • To introduce FAIR-TPs, a publicly accessible website for browsing and analyzing transformation product data.
  • To facilitate the identification and understanding of chemical transformations in environmental and human-related studies.
  • To support suspect and non-target screening workflows by providing a centralized data resource.

Main Methods:

  • Data compilation from literature sources, NORMAN Suspect List Exchange (NORMAN-SLE), and ChEMBL via PubChem.
  • Open-source workflow for regular data updates, archiving on Zenodo, and processing.
  • Storage of transformation data in a Neo4j graph database, accessible via a Django web application.
  • Implementation of features for pathway retrieval, substructure searching, and network visualization.

Main Results:

  • FAIR-TPs currently hosts 11,190 reactions involving 9,435 compounds from 11 sources.
  • The website offers tools to find shortest transformation pathways, search by substructure, and visualize reaction networks.
  • Data includes human and environmental transformations, as well as high-energy water treatment reactions.

Conclusions:

  • FAIR-TPs serves as a valuable public resource for scientists studying chemical transformations.
  • The platform aids in identifying data gaps and interpreting complex transformation reactions for environmental and toxicological assessments.
  • Open access to this data promotes further research and community contributions to TP knowledge.