Predicting MHC class I epitopes in large datasets

Identifying MHC class I epitopes by predicting the TAP transport efficiency of epitope precursors.

We are able to make reliable predictions of the efficiency with which peptides of arbitrary lengths will be transported by TAP. The pressure exerted by TAP on Ag presentation thus can be assessed by checking to what extent MHC class I (MHC-I)-presented epitopes can be discriminated from random peptides on the basis of predicted TAP transport efficiencies alone. Best discriminations were obtaine...

Predicting Epitopes for MHC Molecules

Major Histocompatibility Complex (MHC) plays a key role in immune response by presenting antigenic peptides, which are recognizable to T-cells. Identifying MHCbinding peptides is crucial to understand pathogenesis and develop corresponding vaccines. Direct identification of MHC-binding peptides by biological assays is laborious and expensive, because of the huge size (20) of potential combinati...

Prediction of Cytotoxic T Cell (MHC Class I) epitopes

Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach

MOTIVATION Prediction of which peptides will bind a specific major histocompatibility complex (MHC) constitutes an important step in identifying potential T-cell epitopes suitable as vaccine candidates. MHC class II binding peptides have a broad length distribution complicating such predictions. Thus, identifying the correct alignment is a crucial part of identifying the core of an MHC class II...

MHC class I multimers

T lymphocytes play a key role in the immune response to both foreign and self peptide antigens, which they recognize in combination with MHC molecules. In the past it has been difficult to analyse objectively the specificity, frequency and intensity of T cell responses. The recent application of fluorescent-labelled MHC class I multimers, however, has provided a powerful experimental approach t...