Evidence map›Paper›PMID 35103413›Full record

ArticleChemistryOpen2022

Identification of SARS-CoV-2 Papain-like Protease (PLpro) Inhibitors Using Combined Computational Approach.

Milan Sencanski, Vladimir Perovic, Jelena Milicevic, Tamara Todorovic, Radivoje Prodanovic, Veljko Veljkovic, Slobodan Paessler, Sanja Glisic

Open access · goldAbstract read
In one paragraph

Article in ChemistryOpen, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. SARS-CoV-2 PLChemistryOpen · 2024
    Article
  7. Advances in the Search for SARS-CoV-2 MPathogens (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. In Silico and In Vitro Inhibition of SARS-CoV-2 PLInternational journal of molecular sciences · 2023
    Article
  14. Article
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

8 authors at 3 institutions in 2 countries.

Milan SencanskiLaboratory of Bioinformatics and Computational Chemistry Institute of Nuclear Sciences Vinca National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, 11000, Belgrade, Serbia.ORCID http://orcid.org/0000-0002-7296-3223
Vladimir PerovicLaboratory of Bioinformatics and Computational Chemistry Institute of Nuclear Sciences Vinca National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, 11000, Belgrade, Serbia.ORCID http://orcid.org/0000-0002-3700-6452
Jelena MilicevicLaboratory of Bioinformatics and Computational Chemistry Institute of Nuclear Sciences Vinca National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, 11000, Belgrade, Serbia.
Tamara TodorovicFaculty of Chemistry, University of Belgrade, Studentski Trg 12-16, 11000, Belgrade, Serbia.
Radivoje ProdanovicFaculty of Chemistry, University of Belgrade, Studentski Trg 12-16, 11000, Belgrade, Serbia.
Veljko VeljkovicBiomed Protection, Galveston, TX 77550, USA.
Slobodan PaesslerDepartment of Pathology, University of Texas Medical Branch, Galveston, TX 77550, USA.
Sanja GlisicLaboratory of Bioinformatics and Computational Chemistry Institute of Nuclear Sciences Vinca National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, 11000, Belgrade, Serbia.ORCID http://orcid.org/0000-0001-5691-1055
University of Belgrade · RSBiomed Protection (United States) · USThe University of Texas Medical Branch at Galveston · US

Funding

Science Fund of the Republic of Serbia
6 · The paper itself

Abstract

In the current pandemic, finding an effective drug to prevent or treat the infection is the highest priority. A rapid and safe approach to counteract COVID-19 is in silico drug repurposing. The SARS-CoV-2 PLpro promotes viral replication and modulates the host immune system, resulting in inhibition of the host antiviral innate immune response, and therefore is an attractive drug target. In this study, we used a combined in silico virtual screening for candidates for SARS-CoV-2 PLpro protease inhibitors. We used the Informational spectrum method applied for Small Molecules for searching the Drugbank database followed by molecular docking. After in silico screening of drug space, we identified 44 drugs as potential SARS-CoV-2 PLpro inhibitors that we propose for further experimental testing.

Indexed as

Coronavirus Papain-Like ProteasesCOVID-19HumansMolecular Docking SimulationSARS-CoV-2Coronavirus Papain-Like Proteasespapain-like protease, SARS-CoV-2drug repurposingISMmolecular dockingPapain-like proteaseSARS-CoV-2

Identifiers

PMID35103413
PMCPMC8805381
OpenAlexW4210787116

What Socratic holds

Textmetadata
LicenceCC BY-NC-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 Socratic graph.