BISHUNG, JANET UGUMMAYE and Covenant University, Theses (2020) COMPUTATIONAL MODELLING OF THE NUCLEOCAPSID PROTEIN FOR THE PREDICTION AND DELIVERY OF COVID- 19 DRUG TARGETS. Masters thesis, COVENANT UNIVERSITY.
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Abstract
The Severe acute respiratory syndrome coronavirus 2, which is the causative agent of the Coronavirus Disease 2019 (COVID-19) pandemic is more than a threat to public health. This is due to an inadequate understanding of the molecular keys that constitute its viral protein chemistry. Since its outbreak in December 2019, there have been a series of research, trials, tests carried out and genomic analysis was done to ascertain infection, hinder transmission, and evolve clinical intervention. With several deaths and no hope for a cure anytime soon, more in-depth knowledge of the virus is urgently needed. This project aims to investigate the structural, molecular makeup, and epidemiology of Coronavirus and further make use of computational models to derive a three-dimensional structure of the Nucleocapsid protein of the virus in other to find drug targets that can help inhibit the replication of the virus and make it visible for the human immune system fight off the virus. During this work, the structural, molecular makeup, and epidemiology of Coronavirus were analyzed alongside a detailed understanding of the selected nucleocapsid protein. Homology modeling and model validation was performed to confirm the authenticity of the structure predicted. The result showed a likelihood of the N-protein being a suitable protein to be used in its test phase because of its stability and the various drug targets found during the work. With the knowledge harnessed, we will be a step closer to finding a therapeutic drug that will inhibit the spread of this deadly virus.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Drug targets, COVID-19, Nucleocapsid Protein, protein, clinical trials. Artificial intelligence |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs Hannah Akinwumi |
| Date Deposited: | 11 Jan 2022 11:06 |
| Last Modified: | 11 Jan 2022 11:06 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/15557 |
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