Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/53781
Title: IMMUNOINFORMATICS ANALYSIS OF HIV-1 PROTEOMIC DIVERSITY: IMPLICATIONS FOR VACCINE DESIGN
Authors: HU YONGLI
Keywords: Immunoinformatics, HIV-1, Proteins, viral diversity, vaccine design
Issue Date: 2-Jan-2014
Source: HU YONGLI (2014-01-02). IMMUNOINFORMATICS ANALYSIS OF HIV-1 PROTEOMIC DIVERSITY: IMPLICATIONS FOR VACCINE DESIGN. ScholarBank@NUS Repository.
Abstract: Human Immunodeficiency virus 1 (HIV-1) infections are still currently incurable with no effective vaccines available. One of the major reasons impeding successful vaccine design has been the inability to address the extreme viral immune-relevant diversity. Thus, in this thesis, an immunoinformatics strategy, based on reverse vaccinology approaches, to comprehensively dissect HIV-1 proteomic variability, was proposed. Nonamers were chosen as the immune-relevant unit and the incidences of all defined sequence diversity motifs of a large HIV-1 quasispecies population were quantified. Beyond, functional, structural and immunological characterizations were additionally performed and key diversity features defining potential HIV-1 vaccine targets were identified. In summary, this thesis has defined and laid the foundation for a generic immunoinformatics pipeline for the elucidation of HIV-1 vaccine targets which is believed to be equally applicable to other human pathogens and individual quasispecies for vaccine development.
URI: http://scholarbank.nus.edu.sg/handle/10635/53781
Appears in Collections:Ph.D Theses (Open)

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