Peptide binding motif predictive algorithms correspond with experimental binding of leukemia vaccine candidate peptides to HLA-A*0201 molecules

Leukemia Research
Marta Gomez-NunezDavid A Scheinberg

Abstract

The ability to reliably identify the peptides that can bind to MHC molecules is of practical importance for rapid vaccine development. Several computer-based prediction methods have been applied to study the interaction of MHC class I/peptide binding. Here we have compared the binding of peptides predicted by three algorithms (BIMAS, SYFPEITHI and Rankpep) to the binding of the peptides to HLA-A*0201 molecules in vitro, assessed using a MHC stabilization assay on live T2 cells. Fifty HLA-A*0201 peptides were selected from several target oncoproteins: Wilms' tumor protein (WT1), native and imatinib-mutated bcr-abl p210, JAK2 protein and Ewing's sarcoma fusion protein type 1. The sensitivity and specificity of BIMAS, SYFPEITHI and Rankpep respectively, were: 86%, and 82%; 75% and 73%; 64% and 82%. Combining two or more computer methods did not appear to significantly improve the predictive value.

References

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Citations

Dec 17, 2008·PloS One·Marta Gómez-NuñezDavid A Scheinberg
Nov 1, 2006·Critical Reviews in Immunology·Joshua S M Woodworth, Samuel M Behar
Oct 9, 2009·Expert Review of Proteomics·Uthaman Gowthaman, Javed N Agrewala
Apr 17, 2007·Biochemical and Biophysical Research Communications·Jing LiuYuan Ou
Feb 19, 2010·Journal of Medical Virology·Jinsheng WenLifang Jiang
Dec 9, 2014·Human Vaccines & Immunotherapeutics·Kue Peng LimSok Ching Cheong
Oct 16, 2015·Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases·Manas R DikhitPradeep Das
Oct 23, 2016·Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases·Manas R DikhitPradeep Das
Nov 1, 2007·Expert Review of Clinical Immunology·Matthias von Herrath, Paul Taylor
Feb 5, 2008·Cancer Research·Neil H SegalJames P Allison
Jul 10, 2019·Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases·Alisha AkyaMosayeb Rostamian

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