Modelling the immunogenicity of therapeutic proteins using T cell epitope mapping
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Updated: Sep 26, 2026

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
Published on: March 25, 2014
A S De Groot1, J Rayner, W Martin
1EpiVax, Inc., Providence, RI 02906, USA. AnnieD@Epivax.com
A new approach to designing therapeutic proteins is emerging, due to an improved understanding of T cell modulation of the immune response and new methods for modelling T cell epitopes using bioinformatics. In silico T cell epitope-mapping using the bioinformatics, when combined with other ex silico means of evaluating MHC-peptide and T cell interaction such as tetramers and HLA transgenic mice, enables the evaluation of dysfunctional immune responses to therapeutic proteins. This approach may even permit researchers to develop means of modulating anticipated adverse effects. The pocket profile method for developing T cell epitope prediction tools is reviewed here, and a comparison between the pocket profile method and the extended anchor method for epitopes restricted by the class II allele HLA DR B*0101 is described.
A new approach to designing therapeutic proteins is emerging, due to an improved understanding of T cell modulation of the immune response and new methods for modelling T cell epitopes using bioinformatics. In silico T cell epitope-mapping using the bioinformatics, when combined with other ex silico means of evaluating MHC-peptide and T cell interaction such as tetramers and HLA transgenic mice, enables the evaluation of dysfunctional immune responses to therapeutic proteins. This approach may even permit researchers to develop means of modulating anticipated adverse effects. The pocket profile method for developing T cell epitope prediction tools is reviewed here, and a comparison between the pocket profile method and the extended anchor method for epitopes restricted by the class II allele HLA DR B*0101 is described.

