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Creating a Structured Adverse Outcome Pathway Knowledgebase via Ontology-Based Annotations
- Source :
- Applied In Vitro Toxicology. 3:298-311
- Publication Year :
- 2017
- Publisher :
- Mary Ann Liebert Inc, 2017.
-
Abstract
- The Adverse Outcome Pathway (AOP) framework is increasingly used to integrate data based on traditional and emerging toxicity testing paradigms. As the number of AOP descriptions has increased, so has the need to define the AOP in computable terms. Herein, we present a comprehensive annotation of 172 AOPs housed in the AOP-Wiki as of December 4, 2016, using terms from existing biological ontologies. AOP Key Events (KEs) were assigned ontology terms using a concept called the Event Component, which consists of a Process, an Object, and an Action term, with each term originating from ontologies and other controlled vocabularies. Annotation of KEs with ontology classes from 14 ontologies and controlled vocabularies resulted in a total of 685 KEs being annotated with a total of 809 Event Components. A set of seven conventions resulted, defining the annotation of KEs via Event Components. This expanded annotation of AOPs allows computational reasoners to aid in both AOP development and applications. I...
- Subjects :
- 0301 basic medicine
Computer science
Event (computing)
business.industry
Health, Toxicology and Mutagenesis
Biological Ontologies
010501 environmental sciences
Ontology (information science)
Toxicology
Object (computer science)
computer.software_genre
01 natural sciences
03 medical and health sciences
Medical Laboratory Technology
Annotation
030104 developmental biology
Component (UML)
Controlled vocabulary
Adverse Outcome Pathway
Artificial intelligence
business
computer
Natural language processing
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 23321539 and 23321512
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- Applied In Vitro Toxicology
- Accession number :
- edsair.doi...........df13ef7197e8401f1dbccf6441bd7150
- Full Text :
- https://doi.org/10.1089/aivt.2017.0017