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Alyaa Mohamed Dissertation.pdf
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Alyaa Mohamed Dissertation
Type
ThesisAuthors
Abdel-Haleem, Alyaa M.
Advisors
Gojobori, Takashi
Committee members
Gao, Xin
Al-Babili, Salim

Bajic, Vladimir B.

Lewis, Nathan
Program
BioscienceDate
2019-08Embargo End Date
2020-08-01Permanent link to this record
http://hdl.handle.net/10754/656294
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At the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis became available to the public after the expiration of the embargo on 2020-08-01.Abstract
Infectious diseases continue to be major health concerns worldwide. Although major advances have led to accumulation of genomic data about human pathogens, there clearly exists a gap between genome information and studies aiming at identifying potential drug targets. Here, constraint-based modeling (CBM) was deployed to integrate disparate data types with genome-scale metabolic models (GEMs) to advance our understanding of the pathogenesis of infectious agents with respect to identifying and prioritizing drug targets. Specifically, genome-scale metabolic modeling of multiple stages and species of Plasmodium, the causative agent of malaria, was used to prioritize potential drug targets that could be used to simultaneously treat (anti-malarials) and block transmission of the parasite. In addition, species-specific metabolic models were used to guide translation of findings from non-human experimental disease models to human-infecting species. Further, comparative analysis of the essentiality of metabolic genes for V. cholerae, the causative agent of cholera, growth and survival in single and co-infections with other enteric pathogens led to prioritizing conditionally independent essential genes that would be potential drug targets in both single and co-infection scenarios. Taken together, our findings highlight the utility of using genome-scale metabolic models to prioritize druggable targets that would be of broader spectrum against human pathogens.Citation
Abdel-Haleem, A. M. (2019). Comparative metabolic modeling and analysis of human pathogens. KAUST Research Repository. https://doi.org/10.25781/KAUST-9G8OSae974a485f413a2113503eed53cd6c53
10.25781/KAUST-9G8OS