Repurposing of the nucleoside analogs for influenza

dc.contributor.authorMee-udorn P.
dc.contributor.authorNarkpuk J.
dc.contributor.authorJaru-ampornpan P.
dc.contributor.authorHongeng S.
dc.contributor.authorUengwetwanit T.
dc.contributor.authorSrimongkolpithak N.
dc.contributor.correspondenceMee-udorn P.
dc.contributor.otherMahidol University
dc.date.accessioned2025-09-13T18:07:37Z
dc.date.available2025-09-13T18:07:37Z
dc.date.issued2025-01-01
dc.description.abstractInfluenza viruses remain a global health concern prompting the search for new antivirals. Drug repurposing offers an efficient approach to identify potential therapeutics. This study repurposed 35 FDA-approved nucleoside analogs, screening them against influenza H1N1. Seven compounds exhibited significant antiviral activity, with cytidine analogs Gemcitabine (IC₅₀ = 0.64 ± 0.21 µM) and 5-Azacytidine (IC₅₀ = 3.42 ± 0.38 µM) showing the strongest inhibition. Molecular dynamics simulations showed that key binding site residues (Arg45, Lys229, Arg239, Lys308, Lys480) and a magnesium ion are crucial for drug binding. Stable hydrogen bonds between active analogs and specific residues (Arg239, Thr307, Asn310), along with significant interactions with RNA complementary bases, are associated with antiviral activity. These findings offer structural insights into polymerase inhibition and provide a foundation for future drug design and monitoring of resistance development.
dc.identifier.citationComputational and Structural Biotechnology Journal Vol.27 (2025) , 3762-3769
dc.identifier.doi10.1016/j.csbj.2025.08.006
dc.identifier.eissn20010370
dc.identifier.scopus2-s2.0-105015040211
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/112034
dc.rights.holderSCOPUS
dc.subjectBiochemistry, Genetics and Molecular Biology
dc.subjectComputer Science
dc.titleRepurposing of the nucleoside analogs for influenza
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105015040211&origin=inward
oaire.citation.endPage3769
oaire.citation.startPage3762
oaire.citation.titleComputational and Structural Biotechnology Journal
oaire.citation.volume27
oairecerif.author.affiliationFaculty of Science, Mahidol University
oairecerif.author.affiliationFaculty of Medicine Ramathibodi Hospital, Mahidol University
oairecerif.author.affiliationThailand National Center for Genetic Engineering and Biotechnology

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