Search CTL/CD8+ T-Cell Epitope Database

Found 2 matching records:

Displaying record number 1625

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HXB2 Location	Gag(355-364) p24(223)-p2p7p1p6(1) DNA(1852..1881)	Gag Epitope Map
Author Location	Gag
Epitope	GPGHKARVLA	Epitope Alignment
Species (MHC/HLA)	human(B7)
Immunogen
Experimental methods
Keywords

Notes

• The program Epimatrix was used in conjunction with the program Conservatrix to identify conserved regions of HIV that might serve as epitopes.
• A subset of the potential epitopes was identified that could bind to the appropriate HLA-allele, and 15 predicted B7 superfamily (HLA B7, B8, and B58) epitopes were identified that could stimulate IFNγ production in an ELISPOT assay.
• GPGHKARVLA was confirmed as an HLA-B7 epitope in this study, and had been previously published.

References

DeGroot2001 A. S. De Groot, A. Bosma, N. Chinai, J. Frost, B. M. Jesdale, M. A. Gonzalez, W. Martin, and C. Saint-Aubin. From genome to vaccine: in silico predictions, ex vivo verification. Vaccine, 19(31):4385-95, 14 Aug 2001. PubMed ID: 11483263. Show all entries for this paper.

Displaying record number 52884

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HXB2 Location	Gag(355-364) p24(223)-p2p7p1p6(1) DNA(1852..1881)	Gag Epitope Map
Author Location	Gag
Epitope	GPGHKARVLA	Epitope Alignment
Epitope Name	1291
Subtype	multiple
Species (MHC/HLA)	human(B7)
Immunogen	HIV-1 infection
Patient MHC/HLA	A24, A3, B38, B7, Cw7; A1, A3, B7, B8, C*03, Cw7
Country	United States
Experimental methods	T-cell Elispot
Keywords	binding affinity, computational epitope prediction

Notes

• Epitopes defined using sequence parsing and matching algorithm Conservatrix, and epitope prediction tool EpiMatrix, were shown to be conserved in a broad range of HIV-1 sequences derived from different parts of the world. 31 novel highly conserved HIV-1 epitopes were found, among which four were recognized as promiscuous epitopes and five as MHC supertypes.
• Estimated binding probability for GPGHKARVLA: 28%

References

DeGroot2003 Anne S. De Groot, Bill Jesdale, William Martin, Caitlin Saint Aubin, Hakima Sbai, Andrew Bosma, Judy Lieberman, Gail Skowron, Fadi Mansourati, and Kenneth H. Mayer. Mapping Cross-Clade HIV-1 Vaccine Epitopes Using a Bioinformatics Approach. Vaccine, 21(27-30):4486-4504, 1 Oct 2003. PubMed ID: 14505932. Show all entries for this paper.