Prediction Of The Th Cell Epitopes Based On Fast ICA Method

Adaptive immune response means the process of T and B lymphocytes due to the specificity of the recognition of antigen, activation and proliferation and differentiation, finally form effect cells, and through the secretions of the antibody or cell factors show some biological effects.T cell epitopes could activate immune response of T cell, and play an important role in adaptive immune response. And the identification of T cell with MHC restrictive. There are two antigen presentations, the MHC I antigen processing and presentation pathway and the MHC II antigen processing and presentation pathway.In the MHC class II antigen processing and presentation pathway, only certain peptides could bind to MHC class II molecule. In order to study the binding specificities between peptide and MHC class II molecule, we through CV-Fast ICA method built three QSAR models of MHC class Ⅱ ligand based on13-mer extended core binding sequence and compared with the models of MHC class Ⅱ ligand based on9-mer core binding sequence. Through compared among the predictive performance of models, it is known that the adjacent positions of core binding sequence need to be considered. In addition, to HLA DRB0*0101as an example, the specificities of MHC class Ⅱ molecule binding antigen peptide were analyzed. And the specificities agree with the experiment results.Theoretical models to predict the candidate Th cell epitopes, then verified through biological experiment can reduce the experimental cost and improve the efficiency of Th cell epitopes identified. The method in this paper helps in further understanding the interaction between MHC class Ⅱ molecules and antigenic peptides. And it can also be instructs the designing and developing of the epitope vaccine.