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

Daniel Korn | Zendy; Tesia Bobrowski | Zendy; Michael Li | Zendy; Yaphet Kebede | Zendy; Patrick Wang | Zendy; Phillips Owen | Zendy; Gaurav Vaidya | Zendy; Eugene Muratov | Zendy; Rada Chirkova | Zendy; Chris Bizon | Zendy; Alexander Tropsha | Zendy

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

Author(s) -

Daniel Korn,

Tesia Bobrowski,

Michael Li,

Yaphet Kebede,

Patrick Wang,

Phillips Owen,

Gaurav Vaidya,

Eugene Muratov,

Rada Chirkova,

Chris Bizon,

Alexander Tropsha

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa718

Subject(s) - covid-19 , repurposing , drug repositioning , computer science , pandemic , drug , virology , medicine , biology , infectious disease (medical specialty) , ecology , disease , pathology , psychiatry , outbreak

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.

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