Evidence map›Paper›PMID 38732151›Full record

ArticleInternational journal of molecular sciences2024

Exploring the Antiviral Potential of Natural Compounds against Influenza: A Combined Computational and Experimental Approach.

Vladimir Perovic, Kristina Stevanovic, Natalya Bukreyeva, Slobodan Paessler, Junki Maruyama, Sergi López-Serrano, Ayub Darji, Milan Sencanski, Draginja Radosevic, Simone Berardozzi and 3 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

13 authors.

Vladimir PerovicLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia.ORCID 0000-0002-3700-6452
Kristina StevanovicLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia.ORCID 0009-0002-7066-426X
Natalya BukreyevaDepartment of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Slobodan PaesslerDepartment of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Junki MaruyamaDepartment of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA.ORCID 0000-0003-0088-4793
Sergi López-SerranoInfection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona Biomedical Research Park (PRBB), 08003 Barcelona, Spain.ORCID 0000-0002-0968-7713
Ayub DarjiInstitut de Recerca en Tecnologies Agroalimentaries (IRTA), Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Milan SencanskiLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia.ORCID 0000-0002-7296-3223
Draginja RadosevicLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia.
Simone BerardozziDepartment of Chemistry and Technologies of Drugs, Sapienza University of Roma, 00185 Roma, Italy.ORCID 0000-0002-3352-9811
Bruno BottaDepartment of Chemistry and Technologies of Drugs, Sapienza University of Roma, 00185 Roma, Italy.ORCID 0000-0001-8707-4333
Mattia MoriDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-2398-1254
Sanja GlisicLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia.ORCID 0000-0001-5691-1055

Funding

Ministry of Science, Technological Development and Innovation of the Republic of Serbia 451-03-66/2024-03/200017
6 · The paper itself

Abstract

The influenza A virus nonstructural protein 1 (NS1), which is crucial for viral replication and immune evasion, has been identified as a significant drug target with substantial potential to contribute to the fight against influenza. The emergence of drug-resistant influenza A virus strains highlights the urgent need for novel therapeutics. This study proposes a combined theoretical criterion for the virtual screening of molecular libraries to identify candidate NS1 inhibitors. By applying the criterion to the ZINC Natural Product database, followed by ligand-based virtual screening and molecular docking, we proposed the most promising candidate as a potential NS1 inhibitor. Subsequently, the selected natural compound was experimentally evaluated, revealing measurable virus replication inhibition activity in cell culture. This approach offers a promising avenue for developing novel anti-influenza agents targeting the NS1 protein.

Indexed as

Antiviral AgentsBiological ProductsMolecular Docking SimulationViral Nonstructural ProteinsVirus ReplicationAnimalsDogsHumansInfluenza A virusInfluenza, HumanMadin Darby Canine Kidney CellsAntiviral AgentsBiological ProductsINS1 protein, influenza virusViral Nonstructural Proteinsantiviraldrug resistanceinfluenzanatural compoundsvirtual screening

Identifiers

PMID38732151
PMCPMC11084791

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.