dc.contributor.authorZhang, Guang Lan
dc.date.accessioned2008-10-29T08:10:56Z
dc.date.accessioned2017-07-23T08:28:36Z
dc.date.available2008-10-29T08:10:56Z
dc.date.available2017-07-23T08:28:36Z
dc.date.copyright2008en_US
dc.date.issued2008
dc.identifier.citationZhang, G. L. (2008). Computational discovery of vaccine targets. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/14139
dc.description.abstractEpitope-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.en_US
dc.format.extent226 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
dc.titleComputational discovery of vaccine targetsen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorVladimir Brusicen_US
dc.contributor.supervisorKwoh Chee Keong
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US


Files in this item

FilesSizeFormatView
ZhangGuangLan08.pdf4.853Mbapplication/pdfView/Open

This item appears in the following Collection(s)

Show simple item record