Designing a multi-epitope vaccine candidate against human rhinovirus C utilizing immunoinformatics approach

Designing a multi-epitope vaccine candidate against human rhinovirus C utilizing immunoinformatics approach

Human rhinovirus C (HRV-C) is a significant contributor to respiratory tract infections in children and is implicated in asthma exacerbations across all age groups. Despite its impact, there is currently no licensed vaccine available for HRV-C. Here, we present a novel approach to address this gap b...

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Bibliographic Details
Main Authors: Tajul Islam Mamun, Md. Ahad Ali, Md. Nazmul Hosen, Jillur Rahman, Md. Anwarul Islam, Md. Golam Akib, Kamruz Zaman, Md. Masudur Rahman, Ferdaus Mohd Altaf Hossain, Samir Ibenmoussa, Mohammed Bourhia, Turki M. Dawoud
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Immunology
Subjects:
human rhinovirus C
multi-epitope vaccine
epitope prediction
reverse vaccinology
immunoinformatics
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1364129/full
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