Exploring the Antiviral Potential of Natural Compounds against Influenza: A Combined Computational and Experimental Approach
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Author
Publication date
2024-04-30ISSN
1661-6596
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.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
619 - Veterinary science
Pages
15
Publisher
MDPI
Is part of
International Journal of Molecular Sciences
Program
Sanitat Animal
Recommended citation
Perovic, Vladimir, Kristina Stevanovic, Natalya Bukreyeva, Slobodan Paessler, Junki Maruyama, Sergi López-Serrano, Ayub Darji, et al. 2024. “Exploring the Antiviral Potential of Natural Compounds Against Influenza: A Combined Computational and Experimental Approach.” International Journal of Molecular Sciences 25 (9): 4911. https://doi.org/10.3390/ijms25094911.
Perovic, Vladimir, Kristina Stevanovic, Natalya Bukreyeva, Slobodan Paessler, Junki Maruyama, Sergi López-Serrano, Ayub Darji, et al. 2024. “Exploring the Antiviral Potential of Natural Compounds Against Influenza: A Combined Computational and Experimental Approach.” International Journal of Molecular Sciences 25 (9): 4911. https://doi.org/10.3390/ijms25094911.
This item appears in the following Collection(s)
- ARTICLES CIENTÍFICS [3708]
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/


