Prediction and Analysis of Epitopes in clpP2 of Mycobacterium tuberculosis

【Abstract】 Objective To predict and analyze the antigenic epitopes in Mycobacterium tuberculosis protein caseinolytic protease P2 (clpP2), and explore its possibility to be applied as a new tuberculosis (TB) vaccine and drug development target. Methods Secondary structure of clpP2 based on nucleic sequence was predicted by DNA Star software. The homologous sequence conformation were analyzed by Swiss-Model online software. T cells antigenic epitopes were predicted through VaxiPred, and B cell epitopes were predicted by combining use of several different prediction programs, such as ABCpred, COBEPro and BepiPredPred. The immune characteristics of clpP2 were analyzed by DNA Star, SignalP, TMHMM online software and were searched through NCBI database. Results _clpP2protein was diverse in structure, composing with a great deal of CTL and Th cell epitopes. clpP2 was also predicted to comprise rich potential liner and discontinuous B-cell epitopes. These epitopes were accessible on the protein surface, located in flexible and hydrophilic regions. Conclusion clpP2 is prompted to induce immune responses and developes a novel target in surveillance, treatment and vaccine.