Network generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel.

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dc.contributor.advisorMulder, Nicolaen_ZA
dc.contributor.authorRapanoel Holifidy Arisoaen_ZA
dc.date.accessioned2014-07-28T14:50:35Z
dc.date.available2014-07-28T14:50:35Z
dc.date.issued2012en_ZA
dc.descriptionScroll down to electronic link to access the thesis.
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliographical references.
dc.description.abstractThis project aims to predict protein interactions between human and Mtb. The interologs method based on experimentally verified intra-species and inter-species interactions was used to predict human-Mtb protein interactions. They were further filtered using known host-pathogen interactions and genes that are differentially expressed during infection. This yielded a total of 190 interactions. Analysis of the subcellular location of the human-Mtb interactions showed that they are potentially feasible. The biological processes of the predicted human proteins suggested their involvement in apoptosis and production of nitric oxide, whereas those of the Mtb proteins were relevant to the intracellular environment of Mtb in the host.en_ZA
dc.identifier.apacitation (2012). <i>Network generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology. Retrieved from http://hdl.handle.net/11427/3074en_ZA
dc.identifier.chicagocitation. <i>"Network generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology, 2012. http://hdl.handle.net/11427/3074en_ZA
dc.identifier.citation 2012. Network generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel. Thesis. University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology. http://hdl.handle.net/11427/3074en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Rapanoel Holifidy Arisoa AB - This project aims to predict protein interactions between human and Mtb. The interologs method based on experimentally verified intra-species and inter-species interactions was used to predict human-Mtb protein interactions. They were further filtered using known host-pathogen interactions and genes that are differentially expressed during infection. This yielded a total of 190 interactions. Analysis of the subcellular location of the human-Mtb interactions showed that they are potentially feasible. The biological processes of the predicted human proteins suggested their involvement in apoptosis and production of nitric oxide, whereas those of the Mtb proteins were relevant to the intracellular environment of Mtb in the host. DA - 2012 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Network generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel TI - Network generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel UR - http://hdl.handle.net/11427/3074 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/3074
dc.identifier.vancouvercitation. Network generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology, 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/3074en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Molecular and Cell Biologyen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.titleNetwork generation and analysis for the investigation of host-pathogen interactions in tuberculosis Holifidy Arisoa Rapanoel.en_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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