Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2021.
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Brac University
2023
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10361-193502023-08-08T21:02:00Z Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G. Moon, Sabrina Sultana Siam, Mohammad Kawsar Sharif Department of Pharmacy, Brac University Immuno-informatics Immune simulation Toll - like receptor 3 Multi-epitopes Virus diseases Emerging infectious diseases Medical virology This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-36). In the family Paramyxoviridae, the genome of Nipah henipavirus belongs. The Henipa virus is a descendant of the Hendra and Nipah viruses. The most recent Nipah henipavirus outbreak in Kerala occurred in 2018 in the Kozhikode district. Since there are no effective antiviral drugs to treat NiV illness, patients have no other therapy choices. In this study, we developed an immunoinformatics-based multi-epitope vaccine to guard against Nipah henipavirus glycoprotein G infection. Vipr's database service provided the glycoprotein G sequence in the form of a FASTA file. After that, we used several servers to choose ctl, htl, B cell epitopes, and other predictions. We found two of the CTL epitopes here (AMDEGYFAY and GIKQGDTLY) and two of the htl epitopes here (NPLVVNWRDNTVISR and VNPLVVNWRDNTVIS) show the highest binding affinity with the glycoprotein G sequence. The antigenicity of the entire protein sequence rises from 0.52 to 0.55 when all of the antigenic epitopes are included. The Z score is positive (-8.47), the GRAVY score is positive (-0.316), which suggests that the protein is hydrophilic, the confidence level is 100%, and the coverage rate is 52%, considered a good result for the development of a vaccine. Sabrina Sultana Moon B. Pharmacy 2023-08-08T05:16:55Z 2023-08-08T05:16:55Z 2021 2021 Thesis ID 17346028 http://hdl.handle.net/10361/19350 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 38 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Immuno-informatics Immune simulation Toll - like receptor 3 Multi-epitopes Virus diseases Emerging infectious diseases Medical virology |
| spellingShingle |
Immuno-informatics Immune simulation Toll - like receptor 3 Multi-epitopes Virus diseases Emerging infectious diseases Medical virology Moon, Sabrina Sultana Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G. |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2021. |
| author2 |
Siam, Mohammad Kawsar Sharif |
| author_facet |
Siam, Mohammad Kawsar Sharif Moon, Sabrina Sultana |
| format |
Thesis |
| author |
Moon, Sabrina Sultana |
| author_sort |
Moon, Sabrina Sultana |
| title |
Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G. |
| title_short |
Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G. |
| title_full |
Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G. |
| title_fullStr |
Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G. |
| title_full_unstemmed |
Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G. |
| title_sort |
immuno-informatics aided -design of multi-epitope based vaccine against nipah henipavirus glycoprotein g. |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/19350 |
| work_keys_str_mv |
AT moonsabrinasultana immunoinformaticsaideddesignofmultiepitopebasedvaccineagainstnipahhenipavirusglycoproteing |
| _version_ |
1814308982669443072 |