Evidence map›Paper›PMID 33256227›Full record

ArticleMicroorganisms2020

Identification of an Antiviral Compound from the Pandemic Response Box that Efficiently Inhibits SARS-CoV-2 Infection In Vitro.

Melle Holwerda, Philip V'kovski, Manon Wider, Volker Thiel, Ronald Dijkman

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
0.8field-weighted citation impact, top 16% of its field
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

28 citing papers in PubMed, 36 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Melle HolwerdaInstitute of Virology and Immunology, 3147 Mittelhäusern, Switzerland.ORCID 0000-0002-9814-7793
Philip V'kovskiInstitute of Virology and Immunology, 3147 Mittelhäusern, Switzerland.ORCID 0000-0002-8366-1220
Manon WiderInstitute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland.
Volker ThielInstitute of Virology and Immunology, 3147 Mittelhäusern, Switzerland.ORCID 0000-0002-5783-0887
Ronald DijkmanInstitute of Virology and Immunology, 3147 Mittelhäusern, Switzerland.ORCID 0000-0003-0320-2743
University of Bern · CH

Funding

Federal Ministry of Education and Research (BMBF) RAPID, #01KI1723ASchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_179260, 310030_173085, 31CA30_196062
6 · The paper itself

Abstract

With over 50 million currently confirmed cases worldwide, including more than 1.3 million deaths, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has a major impact on the economy and health care system. Currently, limited prophylactic or therapeutic intervention options are available against SARS-CoV-2. In this study, 400 compounds from the antimicrobial "pandemic response box" library were screened for inhibiting properties against SARS-CoV-2. An initial screen on Vero E6 cells identified five compounds that inhibited SARS-CoV-2 replication. However, validation of the selected hits in a human lung cell line highlighted that only a single compound, namely Retro-2.1, efficiently inhibited SARS-CoV-2 replication. Additional analysis revealed that the antiviral activity of Retro-2.1 occurs at a post-entry stage of the viral replication cycle. Combined, these data demonstrate that stringent in vitro screening of preselected compounds in multiple cell lines refines the rapid identification of new potential antiviral candidate drugs targeting SARS-CoV-2.

Indexed as

Calu-3compound screendrug repurposingpandemic response boxremdesivirRetro-2.1SARS-CoV-2Vero E6

Identifiers

PMID33256227
PMCPMC7760777
OpenAlexW3109892213

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.