Evidence map›Paper›PMID 35001230›Full record

ArticleMolecular diversity2022

A new glimpse on the active site of SARS-CoV-2 3CLpro, coupled with drug repurposing study.

Jurica Novak, Vladimir A Potemkin

Abstract read
In one paragraph

Article in Molecular diversity, 2022. 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
–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

5 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

2 authors.

Jurica NovakHigher Medical and Biological School, Laboratory of Computational Modeling of Drugs, South Ural State University, Tchaikovsky Str. 20-A, Chelyabinsk, 454080, Russia. novaki@susu.ru.ORCID http://orcid.org/0000-0001-5744-6677
Vladimir A PotemkinHigher Medical and Biological School, Laboratory of Computational Modeling of Drugs, South Ural State University, Tchaikovsky Str. 20-A, Chelyabinsk, 454080, Russia.ORCID http://orcid.org/0000-0002-5244-8718

Funding

RFBR, DST, CNPq and SAMRCA 20-53-80002
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is caused by novel severe acute respiratory syndrome coronavirus (SARS-CoV-2). Its main protease, 3C-like protease (3CLpro), is an attractive target for drug design, due to its importance in virus replication. The analysis of the radial distribution function of 159 3CLpro structures reveals a high similarity index. A study of the catalytic pocket of 3CLpro with bound inhibitors reveals that the influence of the inhibitors is local, perturbing dominantly only residues in the active pocket. A machine learning based model with high predictive ability against SARS-CoV-2 3CLpro is designed and validated. The model is used to perform a drug-repurposing study, with the main aim to identify existing drugs with the highest 3CLpro inhibition power. Among antiviral agents, lopinavir, idoxuridine, paritaprevir, and favipiravir showed the highest inhibition potential. Enzyme - ligand interactions as a key ingredient for successful drug design.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsCatalytic DomainCoronavirus 3C ProteasesDrug RepositioningHumansIdoxuridineLigandsLopinavirMolecular Docking SimulationPeptide HydrolasesProtease InhibitorsAntiviral AgentsCoronavirus 3C ProteasesIdoxuridineLigandsLopinavirPeptide HydrolasesProtease Inhibitors3CLproCOVID-19Drug repurposingParitaprevirQSARRadial distribution function

Identifiers

PMID35001230
PMCPMC8743077

What OpenQuestion holds

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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.