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|Title:||A systematic bioinformatics approach for selection of epitope-based vaccine targets||Authors:||Khan, A.M.
Marques, Jr. E.T.A.
|Issue Date:||2006||Citation:||Khan, A.M., Brusic, V., Miotto, O., Heiny, A.T., Tan, T.W., Salmon, J., Srinivasan, K.N., Marques, Jr. E.T.A., August, J.T., Nascimento, E.J.M. (2006). A systematic bioinformatics approach for selection of epitope-based vaccine targets. Cellular Immunology 244 (2) : 141-147. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cellimm.2007.02.005||Abstract:||Epitope-based vaccines provide a new strategy for prophylactic and therapeutic application of pathogen-specific immunity. A critical requirement of this strategy is the identification and selection of T-cell epitopes that act as vaccine targets. This study describes current methodologies for the selection process, with dengue virus as a model system. A combination of publicly available bioinformatics algorithms and computational tools are used to screen and select antigen sequences as potential T-cell epitopes of supertype human leukocyte antigen (HLA) alleles. The selected sequences are tested for biological function by their activation of T-cells of HLA transgenic mice and of pathogen infected subjects. This approach provides an experimental basis for the design of pathogen specific, T-cell epitope-based vaccines that are targeted to majority of the genetic variants of the pathogen, and are effective for a broad range of differences in human leukocyte antigens among the global human population. © 2007 Elsevier Inc. All rights reserved.||Source Title:||Cellular Immunology||URI:||http://scholarbank.nus.edu.sg/handle/10635/28792||ISSN:||00088749
|Appears in Collections:||Staff Publications|
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