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[Preprint]. 2020 Jun 18.
doi: 10.26434/chemrxiv.12462623.

COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database

Daniel Korn  1 , Tesia Bobrowski  2 , Michael Li  1 , Yaphet Kebede  3 , Patrick Wang  4 , Phillips Owen  3 , Gaurav Vaidya  3 , Eugene Muratov  2 , Rada Chirkova  5 , Chris Bizon  3 , Alexander Tropsha  2
Affiliations

COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database

Daniel Korn et al. ChemRxiv. .

Update in

Abstract

In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating the existing 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 test new hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19. COVID-KOP is freely accessible at <a href="https://covidkop.renci.org/">https://covidkop.renci.org/</a>. For code and instructions for the original ROBOKOP, see: https://github.com/NCATS-Gamma/robokop.

Keywords: CORD-19; COVID-19; Drug Repurposing; Drug-target-disease associations; Knowledge Graph; Web-server; database mining.

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Conflict of interest statement

No conflicts of interest.

Figures

Figure 1.
Figure 1.
Execution of a COVID-KOP query for linagliptin-COVID-19 pair. (A) query graph; (B) answer graph for linagliptin-DPP4-T2D-COVID-19 pathway; (C) answer graph for linagliptin-ACE2-T2D-COVID-19 pathway.
See this image and copyright information in PMC

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