Molecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design

dc.contributor.advisorRavenscroft, Neil
dc.contributor.advisorKuttel Michelle
dc.contributor.authorRichardson, Nicole
dc.date.accessioned2025-02-03T06:50:21Z
dc.date.available2025-02-03T06:50:21Z
dc.date.issued2024
dc.date.updated2024-07-09T12:46:51Z
dc.description.abstractThis thesis delves into the intricate world of carbohydrate-based vaccine antigens by employing molecular dynamics simulations to explore the link between their structure, conformation, and immune function. Through a series of four case studies focused on distinct antigen targets, this research aims to predict potential cross-reactivity and cross-protection, rationalize observed immunological reactivity, and provide valuable insights into key epitopes and mechanisms for antigen-antibody binding. The case studies encompass the following antigens: Haemophilus influenzae types a and b, Pasteurella multocida types B and E, Shigella flexneri serotype 6, and Streptococcus pneumoniae serogroup 10. Each case study investigates the conformational aspects of the target antigens and proposes mechanisms for observed immunological phenomena. The collective findings propose connections between structural features, conformation, and their functional implications in immune responses, drawing parallels across individual case studies to elucidate recurring motifs employed by pathogens such as antigen flexibility, structural modifications, and backbone shielding. By broadening the applicability of this molecular modeling methodology, this research extends its reach to new target antigens and pathogens, offering a complementary approach to establish structurefunction relationships and inform rational vaccine design. The continued application of this methodology to a diverse range of vaccine targets promises to expand the knowledge base in the field, potentially revealing additional features harnessed by pathogens to gain a competitive advantage and evade the immune system. As computational power continues to grow, the cost and time associated with modeling may decrease, further enhancing the accessibility of this methodology for future vaccine development endeavors.
dc.identifier.apacitationRichardson, N. (2024). <i>Molecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design</i>. (). University of Cape Town ,Faculty of Science ,Department of Chemistry. Retrieved from http://hdl.handle.net/11427/40865en_ZA
dc.identifier.chicagocitationRichardson, Nicole. <i>"Molecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design."</i> ., University of Cape Town ,Faculty of Science ,Department of Chemistry, 2024. http://hdl.handle.net/11427/40865en_ZA
dc.identifier.citationRichardson, N. 2024. Molecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design. . University of Cape Town ,Faculty of Science ,Department of Chemistry. http://hdl.handle.net/11427/40865en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Richardson, Nicole AB - This thesis delves into the intricate world of carbohydrate-based vaccine antigens by employing molecular dynamics simulations to explore the link between their structure, conformation, and immune function. Through a series of four case studies focused on distinct antigen targets, this research aims to predict potential cross-reactivity and cross-protection, rationalize observed immunological reactivity, and provide valuable insights into key epitopes and mechanisms for antigen-antibody binding. The case studies encompass the following antigens: Haemophilus influenzae types a and b, Pasteurella multocida types B and E, Shigella flexneri serotype 6, and Streptococcus pneumoniae serogroup 10. Each case study investigates the conformational aspects of the target antigens and proposes mechanisms for observed immunological phenomena. The collective findings propose connections between structural features, conformation, and their functional implications in immune responses, drawing parallels across individual case studies to elucidate recurring motifs employed by pathogens such as antigen flexibility, structural modifications, and backbone shielding. By broadening the applicability of this molecular modeling methodology, this research extends its reach to new target antigens and pathogens, offering a complementary approach to establish structurefunction relationships and inform rational vaccine design. The continued application of this methodology to a diverse range of vaccine targets promises to expand the knowledge base in the field, potentially revealing additional features harnessed by pathogens to gain a competitive advantage and evade the immune system. As computational power continues to grow, the cost and time associated with modeling may decrease, further enhancing the accessibility of this methodology for future vaccine development endeavors. DA - 2024 DB - OpenUCT DP - University of Cape Town KW - Chemistry LK - https://open.uct.ac.za PB - University of Cape Town PY - 2024 T1 - Molecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design TI - Molecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design UR - http://hdl.handle.net/11427/40865 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/40865
dc.identifier.vancouvercitationRichardson N. Molecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design. []. University of Cape Town ,Faculty of Science ,Department of Chemistry, 2024 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/40865en_ZA
dc.language.rfc3066Eng
dc.publisher.departmentDepartment of Chemistry
dc.publisher.facultyFaculty of Science
dc.publisher.institutionUniversity of Cape Town
dc.subjectChemistry
dc.titleMolecular modeling studies of carbohydrate vaccine antigens: informing the future of vaccine design
dc.typeThesis / Dissertation
dc.type.qualificationlevelDoctoral
dc.type.qualificationlevelPhD
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