Immunoinformatics and Systems Immunology

Immunoinformatics is a branch of bioinformatics dealing with in silico analysis and modelling of immunological data and problems Immunoinformatics includes the study and design of algorithms for mapping potential B- and T-cell epitopes, which lessens the time and cost required for laboratory analysis of pathogen gene products. Using this information, an immunologist can explore the potential binding sites, which, in turn, leads to the development of new vaccines. This methodology is termed ‘reverse vaccinology’ and it analyses the pathogen genome to identify potential antigenic proteins.5 This is advantageous because conventional methods need to cultivate pathogen and then extract its antigenic proteins. Although pathogens grow fast, extraction of their proteins and then testing of those proteins on a large scale is expensive and time consuming. Immunoinformatics is capable of identifying virulence genes and surface-associated proteins.

 

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