The Study of Specificities of Interaction between Peptides and MHC Molecules
Determining which peptides bind to a specific major histocompatibility complex (MHC) class I molecule is not only helpful to understand the mechanism of immunity, but also to develop effective anti-tumor epitope vaccines. In order to further study the specificity of MHC class I molecule binding antigen peptide, the support vector regression (SVR) and four amino acid descriptors were used to build four models of predicting binding affinities between peptides and MHC class I molecules. Comparison among performances of the four models indicated that the model based on physicochemical properties of amino acids is more satisfying (AC=75.0%, CC=0.499). Furthermore, the specificities of MHC class I molecule binding antigen peptide were obtained through analysis based on the contribution of the amino acids to peptide-MHC class I molecule binding affinities in the predictive model.
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
T. Liu et al., "The Study of Specificities of Interaction between Peptides and MHC Molecules", Advanced Materials Research, Vols. 143-144, pp. 1254-1258, 2011