Insilico Approach for Epitope Prediction toward Novel Vaccine Delivery System Design

Abstract

Vaccines build a defense mechanism against the disease causing agents through the immune system stimulation and disease agents' imitation. Some of the vaccines contain a part of the disease causing agents that are either weakened or dead. Along with using vaccines with viral infections, it can be used against the various types of cancers for both therapy and prevention. The use of cancer's vaccines in cancer therapies is called immunotherapy. It can be done either by specific cancer vaccine or universal cancer vaccine that contains tumor antigens, which stimulate the immune system. This in turn initiates various mechanisms that terminate tumor cells and prevents recurrence of these tumors. The present work proposed an Insilico approach in epitope prediction and analysis of antigenecity and Immunogenecity of Haemophilus influenzae strains. It was interested with the design of a novel vaccine delivery system with better adjuvancity, where vaccine adjuvant is significant for the improvement of the antigens' immunogenicity that present in the vaccines. The conducted insilico approaches selected the best strain target proteins, m strain selection, epitope prediction, antigenicity and immunogenicity prediction of target proteins to find out the best targets.