Evidence map›Paper›PMID 36305272›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2023

Ligand-based discovery of coronavirus main protease inhibitors using MACAW molecular embeddings.

Jie Dong, Mihayl Varbanov, Stéphanie Philippot, Fanny Vreken, Wen-Bin Zeng, Vincent Blay

Open access · goldAbstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 18 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

6 authors at 3 institutions in 3 countries.

Jie DongXiangya School of Pharmaceutical Sciences, Central South University, Changsha, P. R. China.ORCID 0000-0002-3324-9000
Mihayl VarbanovUniversité de Lorraine, CNRS, Nancy, France.
Stéphanie PhilippotUniversité de Lorraine, CNRS, Nancy, France.
Fanny VrekenUniversité de Lorraine, CNRS, Nancy, France.
Wen-Bin ZengXiangya School of Pharmaceutical Sciences, Central South University, Changsha, P. R. China.
Vincent BlayDepartment of Microbiology and Environmental Toxicology, University of California at Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0001-9602-2375
Centre National de la Recherche Scientifique · FRCentral South University · CNUniversity of California, Santa Cruz · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ligand-based drug design methods are thought to require large experimental datasets to become useful for virtual screening. In this work, we propose a computational strategy to design novel inhibitors of coronavirus main protease, M

Indexed as

Coronavirus 3C ProteasesCOVID-19Antiviral AgentsCoronavirus Protease InhibitorsCysteine EndopeptidasesHumansLigandsMolecular Docking SimulationProtease InhibitorsSARS-CoV-2Viral Nonstructural ProteinsAntiviral AgentsCoronavirus 3C ProteasesCoronavirus Protease InhibitorsCysteine EndopeptidasesLigandsProtease InhibitorsViral Nonstructural ProteinscheminformaticsCoronavirusdrug discoveryligand-based drug designmachine learning

Identifiers

PMID36305272
PMCPMC9621234
OpenAlexW4307721169

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.