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. 2021 Apr 5;36(24):5703-5705.
doi: 10.1093/bioinformatics/btaa1057.

The COVID-19 Ontology

Astghik Sargsyan  1   2 , Alpha Tom Kodamullil  1 , Shounak Baksi  3 , Johannes Darms  1 , Sumit Madan  1 , Stephan Gebel  1 , Oliver Keminer  4 , Geena Mariya Jose  3 , Helena Balabin  1 , Lauren Nicole DeLong  1 , Manfred Kohler  4 , Marc Jacobs  1 , Martin Hofmann-Apitius  1   2
Affiliations

The COVID-19 Ontology

Astghik Sargsyan et al. Bioinformatics. .

Abstract

Motivation: The COVID-19 pandemic has prompted an impressive, worldwide response by the academic community. In order to support text mining approaches as well as data description, linking and harmonization in the context of COVID-19, we have developed an ontology representing major novel coronavirus (SARS-CoV-2) entities. The ontology has a strong scope on chemical entities suited for drug repurposing, as this is a major target of ongoing COVID-19 therapeutic development.

Results: The ontology comprises 2270 classes of concepts and 38 987 axioms (2622 logical axioms and 2434 declaration axioms). It depicts the roles of molecular and cellular entities in virus-host interactions and in the virus life cycle, as well as a wide spectrum of medical and epidemiological concepts linked to COVID-19. The performance of the ontology has been tested on Medline and the COVID-19 corpus provided by the Allen Institute.

Availabilityand implementation: COVID-19 Ontology is released under a Creative Commons 4.0 License and shared via https://github.com/covid-19-ontology/covid-19. The ontology is also deposited in BioPortal at https://bioportal.bioontology.org/ontologies/COVID-19.

Supplementary information: Supplementary data are available at Bioinformatics online.

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Conflict of interest statement

none declared.

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