m+Medelevator.RU
← Поиск публикаций
Scientific reports · 2026

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

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

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

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты