Vaccinology: The name, the concept, the adjectives

The visibility of the term vaccinology has become more pronounced in the 21st century in defining a scientific field that has absorbed aspects from different scientific domains until finally acquiring an identity of its own. As a result, vaccinology brings together a long tradition of researchers who have operated within a linear paradigm and incorporates new generations of scientists who have forged an exciting and diverse network of knowledge within this field. The term vaccinology, which initially appeared in isolation at the time of Jenner and once again with the emergence of the Pasteurian model, acquired further prominence thanks to the efforts of the vaccinologists who chronicled the production of vaccines in the last third of the 20th century. The term has since become truly consolidated, with the appearance of new adjectives during this century. This study provides a historical perspective for the frequency of use and evolution of this increasingly widespread term.

MHC class II binding prediction:a little help from a friend

Vaccines are the greatest single instrument of prophylaxis against infectious diseases, with immeasurable benefits to human wellbeing. The accurate and reliable prediction of peptide-MHC binding is fundamental to the robust identification of T-cell epitopes and thus the successful design of peptide- and protein-based vaccines. The prediction of MHC class II peptide binding has hitherto proved recalcitrant and refractory. Here we illustrate the utility of existing computational tools for in silico prediction of peptides binding to class II MHCs. Most of the methods, tested in the present study, detect more than the half of the true binders in the top 5% of all possible nonamers generated from one protein. This number increases in the top 10% and 15% and then does not change significantly. For the top 15% the identified binders approach 86%. In terms of lab work this means 85% less expenditure on materials, labour and time. We show that while existing caveats are well founded, nonetheless use of computational models of class II binding can still offer viable help to the work of the immunologist and vaccinologist.