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Vaccine Informatics

There is a tremendous change in strategy of designing vaccines, it is moving from minimisation to micro-minimization (whole pathogen to antigen to antigenic peptides). This server list severs developed for predicting compete path of antigen processing (endogenous & exogenous). It include methods for predicting; i) MHC or HLA binders, ii) helper T-cell epitopes, iii) CTL epitopes, iv) TAP binders.

Numerous software have been developed in the filed of immunoinformatics in last two decades. In initial phase,researchers focused on prediction of peptides that can activate B- or T-cells. Recently, researcher are developing methods for predicting peptides that can activate specific class of interleukins or cytokines. This page provides link to these servers, they will be very useful in immunotherapy and tissue transplant.

Both arms of immune system (innate and adaptive), plays an important role in protection and elimination of a disease. Most of tools developed in past address problems associated with adaptive immune system. In addition to adaptive immune system our group also developed computational tools to predict biomolecules that can activate innate immunity. These tools can be used to design vaccine adjuvants as well as for predicting immuno-toxicity of biomolecule.

Despite tremendous advances in science, researches failed to develop vaccine against number of diseases (like cancer, tuberculosis and HIV) as they try to design one vaccine against one disease without considering genomic variation in host/human and in disease-associated pathogens. In order to overcome this problem, our group have developed number of computational resources for designing personalised or strain-specific vaccines or immunotherapy.