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<!--  Development of a potential vaccine against dengue and chikungunya virus co infection using immunoinformatics and structural evaluation ( 23 ) -->
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<mods:genre authority="sobekcm">23</mods:genre>
<mods:identifier>DOI: https://doi.org/10.1016/j.jgeb.2026.100774</mods:identifier>
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<mods:languageTerm type="text">English</mods:languageTerm>
<mods:languageTerm type="code" authority="iso639-2b">eng</mods:languageTerm>
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<mods:name>
<mods:namePart>Sadeeq Ullah</mods:namePart>
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<mods:note>&lt;p&gt;&lt;span style=&quot;color: rgb(31, 31, 31); font-family: ElsevierGulliver, Georgia, &quot;Times New Roman&quot;, Times, STIXGeneral, &quot;Cambria Math&quot;, &quot;Lucida Sans Unicode&quot;, &quot;Microsoft Sans Serif&quot;, &quot;Segoe UI Symbol&quot;, &quot;Arial Unicode MS&quot;, serif, sans-serif; font-size: 16px;&quot;&gt;Dengue virus (DENV) and chikungunya virus (CHIKV) co-infection poses a growing challenge in regions where both arboviruses co-circulate, highlighting the need for integrated vaccine strategies. Here, we designed a multi-epitope subunit vaccine candidate targeting conserved regions of the DENV NS1 protein and the CHIKV NSP1 protein using an immunoinformatics-based approach. Conserved CTL, HTL, and B-cell epitopes were selected on the basis of antigenicity, safety-related screening, and population coverage, then assembled with immunologically appropriate linkers and an N-terminal human β-defensin-2 adjuvant. The construct displayed favourable physicochemical features and acceptable structural quality after three-dimensional modeling and validation. Docking analysis indicated stable interaction with human TLR4, which was further examined by normal-mode analysis and 100-ns all-atom molecular dynamics simulations performed in AMBER v24 with the ff19SB force field. Trajectory analyses supported conformational stability of the vaccine-TLR4 complex, and MM/GBSA calculations suggested favourable binding energetics. Codon optimization supported expression feasibility in the &lt;/span&gt;&lt;em style=&quot;margin: 0px; padding: 0px; color: rgb(31, 31, 31); font-family: ElsevierGulliver, Georgia, &quot;Times New Roman&quot;, Times, STIXGeneral, &quot;Cambria Math&quot;, &quot;Lucida Sans Unicode&quot;, &quot;Microsoft Sans Serif&quot;, &quot;Segoe UI Symbol&quot;, &quot;Arial Unicode MS&quot;, serif, sans-serif; font-size: 16px;&quot;&gt;E. coli&lt;/em&gt;&lt;span style=&quot;color: rgb(31, 31, 31); font-family: ElsevierGulliver, Georgia, &quot;Times New Roman&quot;, Times, STIXGeneral, &quot;Cambria Math&quot;, &quot;Lucida Sans Unicode&quot;, &quot;Microsoft Sans Serif&quot;, &quot;Segoe UI Symbol&quot;, &quot;Arial Unicode MS&quot;, serif, sans-serif; font-size: 16px;&quot;&gt; pET-28a(+) system. In silico immune simulation further predicted induction of both humoral and cellular immune responses, with increased antibody production and immune-memory development. These results support the proposed construct as a rational candidate for further experimental evaluation toward a vaccine strategy against DENV-CHIKV co-infection.&lt;/span&gt;&lt;/p&gt;</mods:note>
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<mods:publisher>Elsevier </mods:publisher>
<mods:dateIssued>September 2026</mods:dateIssued>
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<mods:topic>Journal of Genetic Engineering and Biotechnology</mods:topic>
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<mods:title>Development of a potential vaccine against dengue and chikungunya virus co-infection using immunoinformatics and structural evaluation</mods:title>
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