Please use this identifier to cite or link to this item:
|Title:||A systematic bioinformatics approach for selection of epitope-based vaccine targets|
|Authors:||Khan, A.M. |
Marques, Jr. E.T.A.
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 21, 2018
WEB OF SCIENCETM
checked on Sep 11, 2018
checked on May 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.