Evidence map›Paper›PMID 41963367›Full record

ArticleScientific reports2026

Computational identification of conserved dengue virus envelope protein epitopes for vaccine design and immunodiagnostic platform.

Maria Karolaynne da Silva, Umberto Laino Fulco, Taha Alqahtani, Emad Rashad Sindi, Jonas Ivan Nobre Oliveira, Yayesew Amlaku Zerihun, Magdi E A Zaki, Shahina Akter

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Maria Karolaynne da SilvaDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal, RN, 59064-741, Brazil.
Umberto Laino FulcoDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal, RN, 59064-741, Brazil.
Taha AlqahtaniDepartment of Pharmacology, College of Pharmacy, King Khalid University, 62529, Abha, Saudi Arabia.
Emad Rashad SindiDivision of Clinical Biochemistry, Department of Basic Medical Sciences, College of Medicine, University of Jeddah, 23890, Jeddah, Saudi Arabia.
Jonas Ivan Nobre OliveiraDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal, RN, 59064-741, Brazil.
Yayesew Amlaku ZerihunDepartment of Chemistry, College of Science, Bahir Dar University, P. O. Box 79, Bahir Dar, Ethiopia. dryayesewamlakuzerihun@gmail.com.
Magdi E A ZakiDepartment of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University, 11623, Riyadh, Saudi Arabia. mezaki@imamu.edu.sa.
Shahina AkterBangladesh Council of Scientific and Industrial Research, Dhaka, 1205, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) remains a major global health challenge, with its incidence increasing sharply over the past two decades. More than 390 million infections occur annually, affecting nearly half of the world’s population. Despite progress in vaccine research, the coexistence of four antigenically distinct dengue virus serotypes (DENV1-4) complicates vaccine and diagnostic development, emphasizing the urgent need for improved preventive and diagnostic strategies. Immunoinformatics and computational vaccinology are powerful tools to elucidate host–pathogen interactions and accelerate vaccine and diagnostic discovery. As vaccination remains the most effective strategy to reduce the dengue burden and accurate diagnostics are essential for surveillance, this study identified conserved and serotype-specific dengue epitopes to support vaccine and diagnostic development. We conducted a comprehensive in silico analysis of the DENV envelope (E) protein across all four serotypes to identify conserved and serotype-specific T-cell and B-cell epitopes. Molecular docking was performed to evaluate HLA-binding affinity between predicted epitopes and their corresponding alleles, and intrinsically disordered regions of the dengue envelope protein were analyzed to identify flexible segments potentially involved in immune recognition. Finally, normal mode analysis was carried out to assess the structural flexibility and stability of the resulting epitope–HLA complexes. Our analysis revealed highly conserved CD8+ (CD4 +) epitopes, such as E57, E135, E175, E313 and E417 (E133, E134, and E234) that remain antigenic despite sequence variation, suggesting their potential use in a universal dengue vaccine. We also identified distinct serotype-specific epitopes, which could serve as molecular signatures for precise immunodiagnostic assays (DENV-2: E236, E267, and E424; DENV-3: E204, E229, E274, E350, and E410; and DENV-4: E402, E403, E65, and E446). Population coverage analysis predicted a global reach of 66.87%, with high representation in East Asia, Europe, and the Americas. Molecular docking and normal mode analyses confirmed stable peptide–HLA interactions with favorable binding energies, particularly for LTDYGALTL–HLA-A01:01 and DTAWDFGSI–HLA-A26:01 complexes. Collectively, this integrative in silico framework identifies epitope candidates that can inform next-generation multivalent dengue vaccines and enhance serotype-specific diagnostic platforms.

Indexed as

DengueDengue VaccinesDengue VirusEpitopes, B-LymphocyteEpitopes, T-LymphocyteViral Envelope ProteinsComputational BiologyConserved SequenceHumansImmunoinformaticsMolecular Docking SimulationProtein Subunit VaccinesVaccine DevelopmentDengue VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteProtein Subunit VaccinesViral Envelope ProteinsB-cell epitopesDengue virusEnvelope proteinImmunodiagnosticImmunoinformaticsT-cell epitopesVaccine design

Identifiers

PMID41963367
PMCPMC13139383

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.