The choice of a peptide antigen is one of the most important and challenging steps in the development of an antibody. Several aspects like water solubility, proteasomal processing, secondary structure, similarity to other proteins, post-translational modifications, etc. have to be considered. Nevertheless the relative influence of these parameters on the final quality of the antigen has not been fully understood so far and may differ from case to case.
In order to obtain the best possible peptide antigen for immunization, Synaptic Systems combines several computer based prediction algorithms with empirical data gathered over many years.