From combinatorial libraries to MHC ligand motifs, T-cell superagonists and antagonists

Complete experimental data sets of HLA-ligand motifs and T-cell recognition patterns can be derived from combinatorial peptide libraries. These data provide the exact molecular basis for a fast development of synthetic vaccines, T-cell superagonists and non-peptide antagonists. Patient-specific peptides, peptidomimetics and vaccines of highest reactivity can be derived directly from the data sets via our prediction programme EPIPREDICT. The resulting lead structures may be developed into valuable diagnostics and therapeutic tools for the treatment of viral infections, autoimmune diseases and tumors. As one example, antibody and T cell recognition in the intestinal auto-immune disease, coeliac disease was investigated in more detail concerning the deamidation of gamma-gliadin peptides by tissue transglutaminase 9tTG) leading to autoreactive peptides specific for HLA-DQA1*0501, DQB1*0201.