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Related Experiment Video

Updated: Jun 27, 2025

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From papers to RDF-based integration of physicochemical data and adverse outcome pathways for nanomaterials.

Jeaphianne P M van Rijn1, Marvin Martens1, Ammar Ammar1

  • 1Dept of Bioinformatics, BiGCaT, NUTRIM, FHML, Maastricht University, Maastricht, The Netherlands.

Journal of Cheminformatics
|May 1, 2024
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Summary

This study introduces a database linking engineered nanomaterials (ENMs) to their molecular initiating events (MIEs). This facilitates understanding ENM interactions with biological systems and supports nanoinformatics and nanosafety research.

Keywords:
Adverse outcome pathwaysEngineered nanomaterialsNanosafetyResource description framework

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Area of Science:

  • Nanomaterials science
  • Toxicology
  • Bioinformatics

Background:

  • Adverse Outcome Pathways (AOPs) aid in understanding chemical-biological interactions.
  • Information on AOPs specific to engineered nanomaterials (ENMs) is limited.
  • ENM interactions with biological systems require further elucidation.

Purpose of the Study:

  • To integrate existing data on ENMs and their molecular initiating events (MIEs).
  • To develop a method for querying AOPs and biological pathways relevant to ENMs.
  • To enhance nanoinformatics and nanosafety knowledge integration.

Main Methods:

  • Annotation of ENMs and their MIEs using ontologies.
  • Integration of collected data and knowledge.
  • Application of semantic web technologies.

Main Results:

  • A novel database linking ENM stressors to their MIEs or key events (KEs).
  • A reproducible workflow for analyzing and summarizing ENM-MIE knowledge.
  • Demonstration of querying AOPs and biological pathways for ENMs.

Conclusions:

  • FAIR data representation of ENM-MIE knowledge simplifies integration.
  • This work advances nanoinformatics and nanosafety through semantic web technologies.
  • The developed approach aids in understanding ENM biological interactions.