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Computational Identification of Potential Antiviral Agents Against Monkeypox Virus

dc.contributor.author Aydemir, Dr. Murat
dc.contributor.author Hacimuftuoglu, Ahmet
dc.contributor.author Arslan, Mehmet Enes
dc.contributor.author Turkez, Hasan
dc.contributor.author Akbaba, Yusuf
dc.contributor.author Selvitopi, Harun
dc.contributor.author Selvitopi, Zulkuf
dc.date.accessioned 2026-03-26T15:28:54Z
dc.date.available 2026-03-26T15:28:54Z
dc.date.issued 2025
dc.description.abstract This study introduces a drug repurposing approach for monkeypox virus using molecular docking and molecular dynamics (MD) simulations to screen clinically approved drugs for other diseases. Potential candidates were analyzed with AutoDock software in two categories: (1) DNA polymerase inhibitors and (2) RNA polymerase inhibitors. Docking analysis identified seven promising compounds—five DNA polymerase and two RNA polymerase inhibitors—showing strong affinity toward monkeypox targets. MD simulations further confirmed their binding stability. Among them, etravirine (−8.04 kcal/mol) and valaciclovir (−7.57 kcal/mol) exhibited the highest affinity to DNA polymerase active sites at residues ASP347 and ASP462. Moreover, emetine dihydrochloride (−7.17 kcal/mol) demonstrated the strongest binding to the catalytic site of RNA polymerase. Consequently, etravirine and emetine dihydrochloride are proposed as potential therapeutics against monkeypox. Since these compounds are already approved by the U.S. Food and Drug Administration (FDA) for other viral infections, extensive safety testing and high development costs can be avoided, making this repurposing strategy an efficient and cost-effective option for managing monkeypox infection. en_US
dc.identifier.doi 10.29130/dubited.1652693
dc.identifier.issn 2148-2446
dc.identifier.uri https://doi.org/10.29130/dubited.1652693
dc.identifier.uri https://search.trdizin.gov.tr/en/yayin/detay/1355751/computational-identification-of-potential-antiviral-agents-against-monkeypox-virus
dc.identifier.uri https://hdl.handle.net/20.500.14901/4437
dc.language.iso en en_US
dc.relation.ispartof Düzce Üniversitesi Bilim ve Teknoloji Dergisi en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.title Computational Identification of Potential Antiviral Agents Against Monkeypox Virus en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.description.department Erzurum Technical University en_US
gdc.description.departmenttemp Erzurum Teknik Üniversitesi,Atatürk Üniversitesi,Erzurum Teknik Üniversitesi,Atatürk Üniversitesi,Erzurum Teknik Üniversitesi,Erzurum Teknik Üniversitesi,Erzurum Teknik Üniversitesi,Yüksek İhtisas Üniversitesi en_US
gdc.description.endpage 1718 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1695 en_US
gdc.description.volume 13 en_US
gdc.description.wosquality N/A
gdc.identifier.trdizinid 1355751
gdc.virtual.author Arslan, Mehmet Enes
gdc.virtual.author Akbaba, Yusuf
gdc.virtual.author Selvitopi, Harun
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relation.isAuthorOfPublication b1767b4d-4487-4108-9009-91ada7433168
relation.isAuthorOfPublication 3e32044e-ee4a-41b2-997e-7a8d31025794
relation.isAuthorOfPublication.latestForDiscovery f6417bfa-4229-4dd3-9495-15c04f3eee75

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