A novel predictive technique for the MHC class II peptide-binding interaction.

ABSTRACT: Antigenic peptide is presented to a T-cell receptor through the formation of a stable complex with a Major Histocompatibility Complex (MHC) molecule. Various predictive algorithms have been developed to estimate a peptide's capacity to form a stable complex with a given MHC Class II allele, a technique integral to the strategy of vaccine design. These have previously incorporated such computational techniques as quantitative matrices and neural networks. We have developed a novel predictive technique that uses molecular modeling of predetermined crystal structures to estimate the stability of an MHC Class II peptide complex. This is the 1st structure-based technique, as previous methods have been based on binding data. ROC curves are used to quantify the accuracy of the molecular modeling

SUBMITTER: Davies MN 

PROVIDER: S-EPMC1430983 | biostudies-literature | 2003 Sep-Dec

REPOSITORIES: biostudies-literature