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COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database.
Korn, Daniel; Bobrowski, Tesia; Li, Michael; Kebede, Yaphet; Wang, Patrick; Owen, Phillips; Vaidya, Gaurav; Muratov, Eugene; Chirkova, Rada; Bizon, Chris; Tropsha, Alexander.
Afiliação
  • Korn D; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
  • Bobrowski T; School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
  • Li M; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
  • Kebede Y; Renaissance Computing Institute, University of North Carolina at Chapel Hill, NC 27599-7568, USA.
  • Wang P; CoVar Applied Technologies, Durham, NC 27701, USA.
  • Owen P; Renaissance Computing Institute, University of North Carolina at Chapel Hill, NC 27599-7568, USA.
  • Vaidya G; Renaissance Computing Institute, University of North Carolina at Chapel Hill, NC 27599-7568, USA.
  • Muratov E; School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
  • Chirkova R; Department of Computer Science, North Carolina State University, Raleigh, NC, 27606-5550.
  • Bizon C; Renaissance Computing Institute, University of North Carolina at Chapel Hill, NC 27599-7568, USA.
  • Tropsha A; School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
ChemRxiv ; 2020 Jun 18.
Article em En | MEDLINE | ID: mdl-32601612
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 https//covidkop.renci.org/. For code and instructions for the original ROBOKOP, see https//github.com/NCATS-Gamma/robokop.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos