The COVID-19 Ontology

• DOI: 10.1093/bioinformatics/btaa1057
• Publication Date: 2020-12-10T04:10:01Z
• Authors: Astghik Sargsyan; Alpha Tom Kodamullil; Shounak Baksi; Johannes Darms; Sumit Madan; Stephan Gebel; Oliver Keminer; Geena Mariya Jose; Helena Balabin; Lauren Nicole DeLong; Manfred Kohler; Marc Jacobs; Martin Hofmann-Ap...
• Keywords: Open Biomedical Ontologies; Protégé; Repurposing

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 data description, linking and harmonization in context of COVID-19, we have developed ontology representing major novel coronavirus (SARS-CoV-2) entities. a strong scope on chemical entities suited for drug repurposing, this is target ongoing therapeutic development. Results comprises 2270 classes concepts 38 987 axioms (2622 logical 2434 declaration axioms). It depicts roles molecular cellular virus-host interactions virus life cycle, wide spectrum medical epidemiological linked COVID-19. performance been tested Medline corpus provided Allen Institute. Availabilityand implementation Ontology released under Creative Commons 4.0 License shared via https://github.com/covid-19-ontology/covid-19. also deposited BioPortal at https://bioportal.bioontology.org/ontologies/COVID-19. Supplementary information are available Bioinformatics online.