| NIM | B1B018009 |
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| Namamhs | YASINTA NIDA ARROYAN |
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| Judul Artikel | Designing a bivalent multi-epitope vaccine against measles and rubella using an immunoinformatic approach |
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| Abstrak (Bhs. Indonesia) | Measles and rubella are both viral diseases known to affect many children worldwide. Vaccination programs have drastically reduced the number of measles and rubella cases globally, but outbreaks still occur in areas with low vaccination coverage. This low vaccination coverage is largely a result of growing vaccine hesitancy and logistical challenges. Here, we used an immunoinformatics approach to design a new measles-rubella vaccine that is expected to overcome the limitations associated with the currently available vaccine. Several software and web servers were used to predict epitopes in silico, which were then used to design a multi-epitope peptide vaccine. A total of 15 epitopes were selected from the epitope predictions and include a B cell epitope, CD8+ T cell epitope, and CD4+ T cell epitope for the H Measles Virus (MV) protein and E1 Rubella Virus (RV) protein. These designs were then validated using molecular docking and immune response simulation studies the results of which suggest that this novel vaccine has good potential as a new measles-rubella vaccine candidate. |
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| Abtrak (Bhs. Inggris) | Measles and rubella are both viral diseases known to affect many children worldwide. Vaccination programs have drastically reduced the number of measles and rubella cases globally, but outbreaks still occur in areas with low vaccination coverage. This low vaccination coverage is largely a result of growing vaccine hesitancy and logistical challenges. Here, we used an immunoinformatics approach to design a new measles-rubella vaccine that is expected to overcome the limitations associated with the currently available vaccine. Several software and web servers were used to predict epitopes in silico, which were then used to design a multi-epitope peptide vaccine. A total of 15 epitopes were selected from the epitope predictions and include a B cell epitope, CD8+ T cell epitope, and CD4+ T cell epitope for the H Measles Virus (MV) protein and E1 Rubella Virus (RV) protein. These designs were then validated using molecular docking and immune response simulation studies the results of which suggest that this novel vaccine has good potential as a new measles-rubella vaccine candidate. |
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| Kata kunci | Immunoinformatics, Measles Virus, Multi-epitope Vaccine, Peptide-based vaccine, Recombinant vaccine, Rubella Virus, Vaccines |
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| Pembimbing 1 | Dr. Hernayanti, M.Si. |
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| Pembimbing 2 | Dr. Hendro Pramono, M.S. |
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| Pembimbing 3 | |
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| Tahun | 2022 |
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| Jumlah Halaman | 12 |
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| Tgl. Entri | 2022-02-24 06:29:28.969875 |
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