In silico HLA-A2 restricted human ApoB100 CD8 T cell epitope prediction

FS Frank H. Schaftenaar
JA Jacob Amersfoort
HD Hidde Douna
MK Mara J. Kröner
AF Amanda C. Foks
IB Ilze Bot
BS Bram A. Slütter
GP Gijs H. M. van Puijvelde
JD Jan W. Drijfhout
JK Johan Kuiper
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With use of the immune epitope database and analysis resource (iedb.org), putative human ApoB100 derived HLA-A2 restricted CD8 T cell epitopes were predicted. First top 1% predicted binders were selected using NetMHCpan29 which was reported to be the best prediction model for HLA-A264. Thereafter the Proteasomal cleavage/TAP transport/MHC class I combined predictor was used to rank the remaining peptides based on proteasomal cleavage and TAP transport26,27 and a consensus binding prediction28 combining Artificial neural network (ANN)3134, Stabilized matrix method (SMM)30, and Scoring Matrices derived from Combinatorial Peptide Libraries (CombLib) models35. The 6 top peptides were synthesized (IHB, Leiden University Medical Centre).

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