Evidence map›Paper›PMID 32511420›Full record

ArticlebioRxiv : the preprint server for biology2020

An OpenData portal to share COVID-19 drug repurposing data in real time.

Kyle R Brimacombe, Tongan Zhao, Richard T Eastman, Xin Hu, Ke Wang, Mark Backus, Bolormaa Baljinnyam, Catherine Z Chen, Lu Chen, Tara Eicher and 27 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

37 authors.

Kyle R BrimacombeNational Center for Advancing Translational Sciences, National Institutes of Health.
Tongan ZhaoNational Center for Advancing Translational Sciences, National Institutes of Health.
Richard T EastmanNational Center for Advancing Translational Sciences, National Institutes of Health.
Xin HuNational Center for Advancing Translational Sciences, National Institutes of Health.
Ke WangNational Center for Advancing Translational Sciences, National Institutes of Health.
Mark BackusNational Center for Advancing Translational Sciences, National Institutes of Health.
Bolormaa BaljinnyamNational Center for Advancing Translational Sciences, National Institutes of Health.
Catherine Z ChenNational Center for Advancing Translational Sciences, National Institutes of Health.
Lu ChenNational Center for Advancing Translational Sciences, National Institutes of Health.
Tara EicherNational Center for Advancing Translational Sciences, National Institutes of Health.
Marc FerrerNational Center for Advancing Translational Sciences, National Institutes of Health.
Ying FuNational Center for Advancing Translational Sciences, National Institutes of Health.
Kirill GorshkovNational Center for Advancing Translational Sciences, National Institutes of Health.
Hui GuoNational Center for Advancing Translational Sciences, National Institutes of Health.
Quinlin M HansonNational Center for Advancing Translational Sciences, National Institutes of Health.
Zina ItkinNational Center for Advancing Translational Sciences, National Institutes of Health.
Stephen C KalesNational Center for Advancing Translational Sciences, National Institutes of Health.
Carleen Klumpp-ThomasNational Center for Advancing Translational Sciences, National Institutes of Health.
Emily M LeeNational Center for Advancing Translational Sciences, National Institutes of Health.
Sam MichaelNational Center for Advancing Translational Sciences, National Institutes of Health.
Tim MierzwaNational Center for Advancing Translational Sciences, National Institutes of Health.
Andrew PattNational Center for Advancing Translational Sciences, National Institutes of Health.
Manisha PradhanNational Center for Advancing Translational Sciences, National Institutes of Health.
Alex RennNational Center for Advancing Translational Sciences, National Institutes of Health.
Paul ShinnNational Center for Advancing Translational Sciences, National Institutes of Health.
Jonathan H ShrimpNational Center for Advancing Translational Sciences, National Institutes of Health.
Amit ViraktamathNational Center for Advancing Translational Sciences, National Institutes of Health.
Kelli M WilsonNational Center for Advancing Translational Sciences, National Institutes of Health.
Miao XuNational Center for Advancing Translational Sciences, National Institutes of Health.
Alexey V ZakharovNational Center for Advancing Translational Sciences, National Institutes of Health.
Wei ZhuNational Center for Advancing Translational Sciences, National Institutes of Health.
Wei ZhengNational Center for Advancing Translational Sciences, National Institutes of Health.
Anton SimeonovNational Center for Advancing Translational Sciences, National Institutes of Health.
Ewy A MathéNational Center for Advancing Translational Sciences, National Institutes of Health.
Donald C LoNational Center for Advancing Translational Sciences, National Institutes of Health.
Matthew D HallNational Center for Advancing Translational Sciences, National Institutes of Health.
Min ShenNational Center for Advancing Translational Sciences, National Institutes of Health.

Funding

Research Services Section (RSS)ZICTR000242 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI WILSON, KELLI · 2015 to 2025
$64.9M
COVID-19: Assay Development, HTS and Drug Repurposing to identify potential therapeutics against SARS-CoV-2ZIATR000396 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI HALL, MATTHEW · 2020 to 2021
$1.3M
Informatics Research CoreZIATR000410 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MATHE, EWY · 2020 to 2020
$595k
6 · The paper itself

Abstract

The National Center for Advancing Translational Sciences (NCATS) has developed an online open science data portal for its COVID-19 drug repurposing campaign - named OpenData - with the goal of making data across a range of SARS-CoV-2 related assays available in real-time. The assays developed cover a wide spectrum of the SARS-CoV-2 life cycle, including both viral and human (host) targets. In total, over 10,000 compounds are being tested in full concentration-response ranges from across multiple annotated small molecule libraries, including approved drug, repurposing candidates and experimental therapeutics designed to modulate a wide range of cellular targets. The goal is to support research scientists, clinical investigators and public health officials through open data sharing and analysis tools to expedite the development of SARS-CoV-2 interventions, and to prioritize promising compounds and repurposed drugs for further development in treating COVID-19.

Identifiers

PMID32511420
PMCPMC7276055

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.