Evidence map›Paper›PMID 37280244›Full record

ArticleScientific reports2023

An interaction-based drug discovery screen explains known SARS-CoV-2 inhibitors and predicts new compound scaffolds.

Philipp Schake, Klevia Dishnica, Florian Kaiser, Christoph Leberecht, V Joachim Haupt, Michael Schroeder

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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.

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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

6 authors.

Philipp Schake *Bioinformatics, Biotechnology Center (BIOTEC), Technische Universität Dresden, Dresden, Saxony, Germany. philipp.schake@tu-dresden.de.ORCID 0000-0001-7635-7143
Klevia Dishnica *University of Verona, Verona, Italy.
Florian KaiserPharmAi, Dresden, Germany.
Christoph LeberechtPharmAi, Dresden, Germany.
V Joachim HauptPharmAi, Dresden, Germany.
Michael SchroederBioinformatics, Biotechnology Center (BIOTEC), Technische Universität Dresden, Dresden, Saxony, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent outbreak of the COVID-19 pandemic caused by severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) has shown the necessity for fast and broad drug discovery methods to enable us to react quickly to novel and highly infectious diseases. A well-known SARS-CoV-2 target is the viral main 3-chymotrypsin-like cysteine protease (M

Indexed as

COVID-19SARS-CoV-2Antiviral AgentsDrug DiscoveryHumansMolecular Docking SimulationPandemicsProtease InhibitorsViral Nonstructural ProteinsAntiviral AgentsProtease InhibitorsViral Nonstructural Proteins

Identifiers

PMID37280244
PMCPMC10243268

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.