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Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis

Includes abstract.

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Main Author: Mazandu, Gaston Kuzamunu
Other Authors: Mulder, Nicola
Format: Thesis
Language:English
Published: Institute of Infectious Disease and Molecular Medicine 2015
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access_status_str Open Access
author Mazandu, Gaston Kuzamunu
author2 Mulder, Nicola
author_browse Mazandu, Gaston Kuzamunu
Mulder, Nicola
author_facet Mulder, Nicola
Mazandu, Gaston Kuzamunu
author_sort Mazandu, Gaston Kuzamunu
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/11590
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:56.645Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Institute of Infectious Disease and Molecular Medicine
publisherStr Institute of Infectious Disease and Molecular Medicine
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/11590 Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis Mazandu, Gaston Kuzamunu Mulder, Nicola Computational Biology Includes abstract. Includes bibliographical references (leaves 126-150). Mycobacterium tuberculosis is a bacterial pathogen that causes tuberculosis, a leading cause of human death worldwide from infectious diseases, especially in Africa. Despite enormous advances achieved in recent years in controlling the disease, tuberculosis remains a public health challenge. The contribution of existing drugs is of immense value, but the deadly synergy of the disease with Human Immunodeficiency Virus (HIV) or Acquired Immunodeficiency Syndrome (AIDS) and the emergence of drug resistant strains are threatening to compromise gains in tuberculosis control. In fact, the development of active tuberculosis is the outcome of the delicate balance between bacterial virulence and host resistance, which constitute two distinct and independent components. Significant progress has been made in understanding the evolution of the bacterial pathogen and its interaction with the host. The end point of these efforts is the identification of virulence factors and drug targets within the bacterium in order to develop new drugs and vaccines for the eradication of the disease. 2015-01-06T18:45:08Z 2015-01-06T18:45:08Z 2010 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/11590 eng application/pdf Institute of Infectious Disease and Molecular Medicine Faculty of Health Sciences University of Cape Town
spellingShingle Computational Biology
Mazandu, Gaston Kuzamunu
Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis
thesis_degree_str Doctoral
title Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis
title_full Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis
title_fullStr Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis
title_full_unstemmed Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis
title_short Data integration for the analysis of uncharacterized proteins in Mycobacterium tuberculosis
title_sort data integration for the analysis of uncharacterized proteins in mycobacterium tuberculosis
topic Computational Biology
url http://hdl.handle.net/11427/11590
work_keys_str_mv AT mazandugastonkuzamunu dataintegrationfortheanalysisofuncharacterizedproteinsinmycobacteriumtuberculosis