APPLICATION OF DATA MINING FOR DEVELOPMENT OF SYNTHETIC VACCINE FROM SCORPION TOXIN

Mesobuthus tamulus involved multiple antigenic components to direct and empower the immune system to protect the host from infection. MHC molecules are cell surface proteins, which take active part in host immune reactions and involvement of MHC class in response to almost all antigens and it give effects on specific sites. This theme is implemented in designing subunit and synthetic peptide vaccines. In this study we used data mining for sequence analysis method and is allows potential drug targets to identify active sites, which form antibodies against or spider venom infection. The method integrates prediction of peptide MHC class binding; proteosomal C terminal cleavage, TAP transport efficiency and epitopes are important antigenic determinants against the scorpion venom infections.