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ABSTRACT

During the early advancements of technology, nobody had ever imagined that the computers could be used for storage and retrieval of biological information. The successful implication of Bioinformatics and its tools has contributed well in the development of genome sciences and provided the excellent means to further enhance the roots of computational biology. Immuno-informatics is one such computational approach that solves the problems related to immune function of the system. The emerging infectious diseases and the urge to treat them have led to the development of probable in-silico vaccines over the conventional methods of vaccine development. Conventional methods involve either the attenuated bacterial strain or the active components (epitope) which are recognized as foreign by the host and are capable enough to induce an immune response. The identification and selection of such epitopes having higher binding affinities towards the immune cells (B cells and T cells) are the basis for the prediction of immunogenicity by the use of Computational Immunology, which now has reduced the dependency on long term clinical trials to test the efficacy of vaccine. The concept of using genomic knowledge, without the actual cultivation of pathogen to determine the immunologically active components has been named as “Reverse Vaccinology”. The possibility of examining the genome for extraction and prediction of reformed immunizable products and the production of novel vaccines through Immunology modelling, furnish a suitable basis for exploring the discipline.

Keywords: Reverse vaccinology, Vaccines, Computational Immunology, Immunoinformatics, epitopes

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Reverse Vaccinology A novel approach in eliminating the infections.pdf