COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database

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SUMMARY: In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating the existing Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) biomedical knowledge graph with information from recent biomedical literature on COVID-19 annotated...

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Detalles Bibliográficos
Autores principales: Korn, Daniel, Bobrowski, Tesia, Li, Michael, Kebede, Yaphet, Wang, Patrick, Owen, Phillips, Vaidya, Gaurav, Muratov, Eugene, Chirkova, Rada, Bizon, Chris, Tropsha, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890668/
https://www.ncbi.nlm.nih.gov/pubmed/33175089
http://dx.doi.org/10.1093/bioinformatics/btaa718
Descripción
Sumario:SUMMARY: In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating the existing Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) biomedical knowledge graph with information from recent biomedical literature on COVID-19 annotated in the CORD-19 collection. COVID-KOP can be used effectively to generate new hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19 by establishing respective confirmatory pathways of drug action. AVAILABILITY AND IMPLEMENTATION: COVID-KOP is freely accessible at https://covidkop.renci.org/. For code and instructions for the original ROBOKOP, see: https://github.com/NCATS-Gamma/robokop.

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