Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/173618
| Title: | Prediction epitopes and designing the novel vaccine for Japanese Encephalitis Virus an in Silico Approach |
| Researcher: | Usman Sayeed |
| Guide(s): | Salman Khan |
| University: | Integral University |
| Completed Date: | |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/173618 |
| Appears in Departments: | Department of Biosciences |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| bibliography.pdf | Attached File | 543.97 kB | Adobe PDF | View/Open |
| certificate.pdf | 561.44 kB | Adobe PDF | View/Open | |
| chapter-1 introduction review of literature.pdf | 583.08 kB | Adobe PDF | View/Open | |
| chapter-2 identification, optimization and validation of target proteins.pdf | 2.01 MB | Adobe PDF | View/Open | |
| chapter-3 prediction of b-cell epitope.pdf | 441.02 kB | Adobe PDF | View/Open | |
| chapter-4 prediction of t-cell epitope.pdf | 2.25 MB | Adobe PDF | View/Open | |
| chapter-5 summary and conclusion.pdf | 161.86 kB | Adobe PDF | View/Open | |
| list of research paper publication.pdf | 82.41 kB | Adobe PDF | View/Open | |
| plenary.pdf | 212.36 kB | Adobe PDF | View/Open | |
| title page.pdf | 61.19 kB | Adobe PDF | View/Open |
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