Evidence map›Paper›PMID 32995786›Full record

ArticlebioRxiv : the preprint server for biology2020

Ebselen, disulfiram, carmofur, PX-12, tideglusib, and shikonin are non-specific promiscuous SARS-CoV-2 main protease inhibitors.

Chunlong Ma, Yanmei Hu, Julia Alma Townsend, Panagiotis I Lagarias, Michael Thomas Marty, Antonios Kolocouris, Jun Wang

Open access · greenAbstract 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. 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, 51 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Chunlong MaDepartment of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, Arizona 85721, United States.
Yanmei HuDepartment of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, Arizona 85721, United States.
Julia Alma TownsendDepartment of Chemistry and Biochemistry, The University of Arizona, Tucson, Arizona 85721, United States.
Panagiotis I LagariasDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Greece.
Michael Thomas MartyDepartment of Chemistry and Biochemistry, The University of Arizona, Tucson, Arizona 85721, United States.
Antonios KolocourisDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Greece.
Jun WangDepartment of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, Arizona 85721, United States.ORCID 0000-0002-4845-4621
University of Arizona · USNational and Kapodistrian University of Athens · GR

Funding

CHEMISTRY-BIOLOGY INTERFACE TRAINING PROGRAMT32GM008804 · NIGMS · UNIVERSITY OF ARIZONA · PI MONTFORT, WILLIAM R. · 2003 to 2023
$3.9M
Unravelling Membrane Protein-Lipid Interactions using Nanodiscs and Mass SpectrometryR35GM128624 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Michael T Marty · 2018 to 2026
$3.6M
High Throughput Screening of Inhibitors Targeting the Enterovirus A71 and D68 2A ProteasesR01AI147325 · NIAID · UNIVERSITY OF ARIZONA · PI WANG, JUN · 2019 to 2022
$1.7M
NIAID NIH HHS R01 AI147325NIGMS NIH HHS R35 GM128624NIGMS NIH HHS T32 GM008804
6 · The paper itself

Abstract

There is an urgent need for vaccines and antiviral drugs to combat the COVID-19 pandemic. Encouraging progress has been made in developing antivirals targeting SARS-CoV-2, the etiological agent of COVID-19. Among the drug targets being investigated, the viral main protease (M

Identifiers

PMID32995786
PMCPMC7523112
OpenAlexW3084704797

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.