Evidence map›Paper›PMID 32601612›Full record

ArticleChemRxiv : the preprint server for chemistry2020

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 readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in ChemRxiv : the preprint server for chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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, Chapel Hill, NC 27599-7568, USA.
Tesia BobrowskiSchool of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
Michael LiDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
Yaphet KebedeRenaissance Computing Institute, University of North Carolina at 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, NC 27599-7568, USA.
Gaurav VaidyaRenaissance Computing Institute, University of North Carolina at Chapel Hill, NC 27599-7568, USA.
Eugene MuratovSchool of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.
Rada ChirkovaDepartment of Computer Science, North Carolina State University, Raleigh, NC, 27606-5550.
Chris BizonRenaissance Computing Institute, University of North Carolina at Chapel Hill, NC 27599-7568, USA.
Alexander TropshaSchool of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568, USA.

Funding

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
NCI NIH HHS U01 CA207160
6 · The paper itself

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.

Indexed as

CORD-19COVID-19database miningDrug RepurposingDrug-target-disease associationsKnowledge GraphWeb-server

Identifiers

PMID32601612
PMCPMC7316095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.