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Immuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G.

bracu.type.groupStudent Works
dc.contributor.advisorSiam, Mohammad Kawsar Sharif
dc.contributor.authorMoon, Sabrina Sultana
dc.contributor.departmentDepartment of Pharmacy
dc.date.accessioned2023-08-08T05:16:55Z
dc.date.available2023-08-08T05:16:55Z
dc.date.copyright2021
dc.date.issued2021
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 31-36).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2021.en_US
dc.description.abstractIn 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.en_US
dc.description.degreeBachelor of Pharmacy
dc.description.statementofresponsibilitySabrina Sultana Moon
dc.format.extent38 pages
dc.identifier.otherID 17346028
dc.identifier.urihttp://hdl.handle.net/10361/19350
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBrac 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.
dc.subjectImmuno-informaticsen_US
dc.subjectImmune simulationen_US
dc.subjectToll - like receptor 3en_US
dc.subjectMulti-epitopesen_US
dc.subject.lcshVirus diseases
dc.subject.lcshEmerging infectious diseases
dc.subject.lcshMedical virology
dc.titleImmuno-informatics aided -design of multi-epitope based vaccine against Nipah henipavirus Glycoprotein G.en_US
dc.typeThesisen_US

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