Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/14139
Title: Computational discovery of vaccine targets
Authors: Zhang, Guang Lan
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2008
Source: Zhang, G. L. (2008). Computational discovery of vaccine targets. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Epitope-based vaccines show great potential in fighting infectious diseases as well as non-communicable diseases. The identification of T-cell epitopes, a crucial step in the design of epitope-based vaccines, is a highly combinatorial problem. Peptide binding to major histocompatibility complex (MHC) molecules is necessary for cellular immune recognition because antigens can only be recognized by T-cells in the form of a peptide complexed by MHC molecules. Experimental approaches for identification of T-cell epitopes are costly, time-consuming, and not applicable to large scale studies. Bioinformatics methods are therefore instrumental for enabling systematic large-scale T-cell epitope mapping. The aim of this work is to aid vaccine targets discovery by combining multiple computational approaches for precise mapping of individual promiscuous T-cell epitopes as well as T-cell epitope hotspots – the regions in protein antigens that have high concentration of these targets.
URI: https://hdl.handle.net/10356/14139
DOI: 10.32657/10356/14139
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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