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COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
ChemRxiv
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316095/ https://www.ncbi.nlm.nih.gov/pubmed/32601612 http://dx.doi.org/10.26434/chemrxiv.12462623 |
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author | Korn, Daniel Bobrowski, Tesia Li, Michael Kebede, Yaphet Wang, Patrick Owen, Phillips Vaidya, Gaurav Muratov, Eugene Chirkova, Rada Bizon, Chris Tropsha, Alexander |
author_facet | Korn, Daniel Bobrowski, Tesia Li, Michael Kebede, Yaphet Wang, Patrick Owen, Phillips Vaidya, Gaurav Muratov, Eugene Chirkova, Rada Bizon, Chris Tropsha, Alexander |
author_sort | Korn, Daniel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7316095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | ChemRxiv |
record_format | MEDLINE/PubMed |
spelling | pubmed-73160952020-06-29 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 ChemRxiv Article 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. ChemRxiv 2020-06-18 /pmc/articles/PMC7316095/ /pubmed/32601612 http://dx.doi.org/10.26434/chemrxiv.12462623 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Korn, Daniel Bobrowski, Tesia Li, Michael Kebede, Yaphet Wang, Patrick Owen, Phillips Vaidya, Gaurav Muratov, Eugene Chirkova, Rada Bizon, Chris Tropsha, Alexander COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database |
title | COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database |
title_full | COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database |
title_fullStr | COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database |
title_full_unstemmed | COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database |
title_short | COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database |
title_sort | covid-kop: integrating emerging covid-19 data with the robokop database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316095/ https://www.ncbi.nlm.nih.gov/pubmed/32601612 http://dx.doi.org/10.26434/chemrxiv.12462623 |
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