T-cell epitope prediction and its interaction with MHC class i and class ii for ebola virus vaccine
Priyanka S Bharadwaj
Vaccines are preventive pharmaceutical interventions that prepares the body for pathogens, making the immune system ready for future infections. It is highly cost-effective in comparison to secondary preventive measures. In pharmaceutical industry, product development and production of the same is normally very expensive and consumes a large time frame to achieve the same. Approaches focused on selection of appropriate antigenic structures, carriers and adjuvants are used to reduce the cost and time frame. For this matter, methodologies on bioinformatics can be utilized for vaccine development. Using bioinformatics with the knowledge of immunology gave rise to a new field known as immunoinformatics. This study involves the utilization of various bioinformatics tools and software, such as Jal View, IEDB Servers, and docking tools. The knowledge of reverse vaccinology is used to obtain a synthetic vaccine against EBOV nucleoprotein. Out of the 6 strains of Ebola virus present, only 4 are capable of infecting humans (Zaire ebola virus, Sudan ebola virus, Tai Forest ebola virus and Bundibugyo ebola virus). Their nucleoprotein sequences were retrieved from NCBI Protein database and their consensus sequence was obtained using Jal View software. Further, the binding MHC molecules and the epitopes were predicted. Using the tool Hex docking was done to fit the binding energy.