Evidence map›Paper›PMID 33175089›Full record

ArticleBioinformatics (Oxford, England)2021

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

Daniel Korn, Tesia Bobrowski, Michael Li, Yaphet Kebede, Patrick Wang, Phillips Owen, Gaurav Vaidya, Eugene Muratov, Rada Chirkova, Chris Bizon and 1 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. [Overview of the application of knowledge graphs in the medical field].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Synergistic and Antagonistic Drug Combinations against SARS-CoV-2.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Daniel KornDepartment of Computer Science, University of North Carolina at Chapel Hill, USA.ORCID 0000-0002-1780-9872
Tesia BobrowskiDivision of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, USA.
Michael LiDepartment of Computer Science, University of North Carolina at Chapel Hill, USA.
Yaphet KebedeRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
Patrick WangCoVar Applied Technologies, Durham, NC 27701, USA.
Phillips OwenRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
Gaurav VaidyaRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
Eugene MuratovDivision of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, USA.
Rada ChirkovaDepartment of Computer Science, North Carolina State University, Raleigh, NC 27606-5550, USA.
Chris BizonRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
Alexander TropshaDivision of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, USA.ORCID 0000-0003-3802-8896

Funding

Biomedical Data Translator Technical Feasibility Assessment of Reasoning Tool: University of North Carolina at Chapel HillOT2TR002514 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER · 2018 to 2019
$2.0M
Drug Repurposing for Cancer Therapy: From Man to Molecules to ManU01CA207160 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER · 2016 to 2018
$1.2M
NCATS NIH HHS OT2 TR002514NCI NIH HHS U01 CA207160
6 · The paper itself

Abstract

summaryIn 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. AVAILABILITY AND IMPLEMENTATION: 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.

Indexed as

COVID-19Databases, FactualHumansKnowledge BasesPandemicsSARS-CoV-2

Identifiers

PMID33175089
PMCPMC7890668

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.