Please use this identifier to cite or link to this item:
|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|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.