An In Silico Deep Learning Approach to Multi-Epitope Vaccine Design: A Hepatitis E Virus Case Study.
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ABSTRACT:
SUBMITTER: Ikram A
PROVIDER: S-EPMC10059858 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
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An In Silico Deep Learning Approach to Multi-Epitope Vaccine Design: A Hepatitis E Virus Case Study.
Ikram Aqsa A Alzahrani Badr B Zaheer Tahreem T Sattar Sobia S Rasheed Sidra S Aurangzeb Muhammad M Ishaq Yasmeen Y
Vaccines 20230322 3
Hepatitis E Virus (HEV) is a major cause of acute and chronic hepatitis. The severity of HEV infection increases manyfold in pregnant women and immunocompromised patients. Despite the extensive research on HEV in the last few decades, there is no widely available vaccine yet. In the current study, immunoinformatic analyses were applied to predict a multi-epitope vaccine candidate against HEV. From the ORF2 region, 41 conserved and immunogenic epitopes were prioritized. These epitopes were furthe ...[more]
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