Vaccine Design and Immunoinformatics

The emanation use of vaccines has shown tremendous applications of computational algorithms that can be used for amelioration of health globally. Vaccine Research has become a center area of research that embarks its applications to save several lives, reduced cost of treatment, and potential inhibitor of infectious diseases. The stimulating progress of immunoinformatics approach with the concept of peptide vaccines has proven to be productive way to target unknown antigenic proteins, complex life-cycle of infectious diseases, variability of immune system response, and long term protection. This Chapter reviews the comprehensive database analysis for the construction of vaccine design targeting epitope based approach which has proven to be a very robust method for the characterization of vaccine targets for systemic models of vaccine. The design of vaccine from traditional to computational methods enables to understand the complexity of disease causing organisms and their hyper variable nature. The investigations of vaccine include rigorous methods that validate the designed vaccine to be antigenic, immunogenic, and non-allergenic and higher solubility and furthermore predicted designed vaccine should have the capability to trigger high immune responses. The docking and simulation of the predicted peptides provide insight information of the binding energy and the stability of vaccine candidates for a better accuracy.