Exploring Adverse Outcome Pathways for Nanomaterials with semantic web technologies

03 July 2023, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Adverse Outcome Pathways (AOPs) have been proposed to facilitate mechanistic understanding of interactions of chemicals/materials with biological systems. Each AOP starts with a molecular initiating event (MIE) and possibly ends with adverse outcome(s) (AOs) via a series of key events (KEs). So far, the interaction of engineered nanomaterials (ENMs) with biomolecules, biomembranes, cells, and biological structures, in general, is not yet fully elucidated yet. There is also a huge lack of information on which AOPs are ENMs-relevant or -specific, despite numerous published data on toxicological endpoints they trigger, such as oxidative stress and inflammation. We propose to integrate related data and knowledge recently collected. Our approach combines the annotation of nanomaterials and their MIEs with ontology annotation to demonstrate how we can then query AOPs and biological pathway information for these materials. We conclude that a FAIR (Findable, Accessible, Interoperable, Reusable) representation of the ENM-MIE knowledge simplifies integration with other knowledge.

Keywords

Nanosafety
Resource Description Framework
Adverse Outcome Pathways
Engineered Nanomaterials

Supplementary materials

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Description
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Supplementary info
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Supplementary info mentioned in the article.
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The data made FAIR
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This is the "Additional file 1" mentioned in the article.
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