A Molecular Docking and Glycoinformatics Approach Reveals Viral NS4A-Human Sec61G Interaction in Zika/Dengue Infections

dc.contributor.author Uslupehlivan, Muhammet
dc.contributor.author Deveci, Remziye
dc.date.accessioned 2025-11-25T15:25:22Z
dc.date.available 2025-11-25T15:25:22Z
dc.date.issued 2025
dc.description.abstract Zika (ZIKV) and Dengue virus (DENV) are transmitted to humans via Aedes mosquitoes, collectively infecting approximately 400 million individuals annually. Both viruses replicate on the endoplasmic reticulum membrane, where the NS4A protein serves as a key component of the viral replication complex and mediates interactions with the host Sec61G protein. Although host glycosylation enzymes have been reported to interact with NS4A, the three-dimensional structure of NS4A, potential glycosylation sites, precise interaction interfaces with Sec61G, and the functional role of glycosylation in these interactions remain largely unknown. This study aims to characterize the molecular determinants of NS4A - Sec61G interactions to provide insights into virus-host interactions. Structures of NS4A proteins were predicted via molecular modeling. Glycosylation sites were identified using glycoinformatics analyses, and NS4A - Sec61G interactions were assessed using three distinct molecular docking programs to ensure reliability and cross-validation of predicted binding modes. Glycosylation analysis revealed that only NS4A from ZIKV contains O-glycosylation sites. Docking simulations highlighted Arg127 in NS4A ZIKV, and Arg76 and Glu124 in NS4A DENV as critical residues potentially mediating stable interactions with Sec61G. These residues likely play essential roles in NS4A - Sec61G interactions, and their identification may contribute to the development of effective therapeutic strategies targeting both viral and host factors. en_US
dc.description.sponsorship Council of Higher Education en_US
dc.description.sponsorship The authors would like to thank the Council of Higher Education for the Ph.D. scholarship support. Generative AI tools were not used for literature review, study design, data collection, data analysis, interpretation of results, manuscript drafting, editing, figure creation, or reference management. en_US
dc.identifier.doi 10.1080/17460794.2025.2581464
dc.identifier.issn 1746-0794
dc.identifier.issn 1746-0808
dc.identifier.scopus 2-s2.0-105020600298
dc.identifier.uri https://doi.org/10.1080/17460794.2025.2581464
dc.identifier.uri https://hdl.handle.net/20.500.14365/6612
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.ispartof Future Virology en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Zika en_US
dc.subject Dengue en_US
dc.subject NS4A en_US
dc.subject Sec61G en_US
dc.subject Molecular Docking en_US
dc.subject 3D Molecular Modeling en_US
dc.subject Glycosylation en_US
dc.title A Molecular Docking and Glycoinformatics Approach Reveals Viral NS4A-Human Sec61G Interaction in Zika/Dengue Infections en_US
dc.type Article en_US
dspace.entity.type Publication
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gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Uslupehlivan, Muhammet; Deveci, Remziye] Ege Univ, Fac Sci, Dept Biol, Mol Biol Sect, Izmir, Turkiye; [Uslupehlivan, Muhammet] Izmir Univ Econ, Fac Engn, Dept Genet & Bioengn, TR-35330 Izmir, Turkiye en_US
gdc.description.endpage 13
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
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gdc.description.volume 20
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