ChemRxiv
These are preliminary reports that have not been peer-reviewed. They should not be regarded as conclusive, guide clinical practice/health-related behavior, or be reported in news media as established information. For more information, please see our FAQs.
COVID-KOP_ChemRXiv.docx (105.8 kB)
0/0

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

preprint
submitted on 11.06.2020 and posted on 18.06.2020 by Daniel Korn, Tesia Bobrowski, Michael Li, Yaphet Kebede, Patrick Wang, Phillips Owen, Gaurav Vaidya, Eugene Muratov, Rada Chirkova, Cristopher Bizon, Alexander Tropsha

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 https://covidkop.renci.org/. For code and instructions for the original ROBOKOP, see: https://github.com/NCATS-Gamma/robokop.

Funding

NCATS: OT2R002514

NIH: 1U01CA207160

History

Email Address of Submitting Author

murik@email.unc.edu

Institution

University of North Carolina

Country

United States

ORCID For Submitting Author

0000-0003-4616-7036

Declaration of Conflict of Interest

No conflicts of interest.

Exports