Identification of selective novel hits against Mycobacterium tuberculosis KasA potential allosteric sites using bioinformatics approaches
| dc.contributor.advisor | Bishop, Özlem Taştan | |
| dc.contributor.advisor | Sanyanga, Taremekedzwa Allan | |
| dc.contributor.author | Hare, Fadzayi Faith | |
| dc.date.accessioned | 2026-03-03T13:04:30Z | |
| dc.date.issued | 14/10/2022 | |
| dc.description.abstract | Tuberculosis (TB) is a global health threat that has led to approximately 1.5 million deaths annually. According to the World Health Organization (WHO), TB is among the top ten deadly diseases and is the leading cause of death due to a single infectious agent. The main challenge in the effective treatment and control of TB is the ongoing emergence of resistant strains of Mycobacterium tuberculosis (Mtb) which lead to multi-drug resistant (MDR) and extensive-drug resistant (XDR) TB. Hence, the identification and characterization of novel drug targets and drugs that modulate the activity of the pathogen are an urgent priority. The current situation even necessitates the reengineering or repurposing of drugs in order to achieve effective control. The β-ketoacyl-acyl carrier protein synthase I (KasA) of Mycobacterium tuberculosis is an essential enzyme in the mycobacterial fatty acid syn | |
| dc.description.degree | Master's thesis | |
| dc.description.degree | MSc | |
| dc.format.extent | 124 pages | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.other | http://hdl.handle.net/10962/362842 | |
| dc.identifier.uri | https://researchrepository.ru.ac.za/handle/123456789/3983 | |
| dc.language | English | |
| dc.publisher | Rhodes University, Faculty of Science, Department of Biochemistry and Microbiology | |
| dc.rights | Hare, Fadzayi Faith | |
| dc.subject | Tuberculosis | |
| dc.subject | Docking | |
| dc.subject | Molecules Models | |
| dc.subject | Virtual screening | |
| dc.subject | Multidrug-resistant tuberculosis | |
| dc.subject | Fatty acids Synthesis | |
| dc.subject | Drugs Design | |
| dc.title | Identification of selective novel hits against Mycobacterium tuberculosis KasA potential allosteric sites using bioinformatics approaches | |
| dc.type | Academic thesis |
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