Prediction of affinity between epitopes and HLA alleles

CT Camille Tumiotto
BA Bruna M. Alves
PR Patricia Recordon-Pinson
MJ Marine Jourdain
PB Pantxika Bellecave
GG Gwenda-Line Guidicelli
JV Jonathan Visentin
FB Fabrice Bonnet
MH Mojdan Hessamfar
DN Didier Neau
JS Jorge Sanchez
CB Christian Brander
MS Mohammad Sajadi
LE Lindsay Eyzaguirre
ES Esmeralda A. Soares
JR Jean-Pierre Routy
MS Marcelo A. Soares
HF Hervé Fleury
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Using our TutuGenetics software [35], we were able to estimate the theoretical affinity between the putative epitopes and the HLA class I molecules of each patient. The TutuGenetics algorithm moves a sliding window of 8 to 10 amino acids across the test sequence and calculates the MHC IC50 value according to each HLA allele of each patient to identify theoretically new HLA-epitope pairs. In order to identify potential epitopes with high binding affinity and conserved sequence across the available DNA sequence dataset, a conservative cut-off was applied so that only those epitopes with a theoretical MHC IC50 < 50nm binding affinity and observed in >80% of all sequences analyzed were included.

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