Prediction methods as well as experimental methods for T-cell epitope discovery have developed significantly in recent years. High-throughput experimental methods have made it possible to perform full-length protein scans for epitopes restricted to a limited number of MHC alleles. The high costs and limitations regarding the number of proteins and MHC alleles that are feasibly handled by such e...

background : the aim of this study was to generate in silico 3d-structure of the envelope protein of ahfv using homology modeling method to further predict its conformational epitopes and help other studies to investigate its structural features using the model. methods : a 3d-structure prediction was developed for the envelope protein of alkhumra haemorrhagic fever virus (ahfv), an emerging ti...

To properly characterize protective polyclonal antibody responses, it is necessary to examine epitope specificity. Most antibody epitopes are conformational in nature and, thus, cannot be identified using synthetic linear peptides. Cyclic peptides can function as mimetics of conformational epitopes (termed mimotopes), thereby providing targets, which can be selected by immunoaffinity purificati...

We have established several HLA-A2.1-transgenic rabbit lines to provide a host to study CD8(+) T cell responses during virus infections. HLA-A2.1 protein expression was detected on cell surfaces within various organ tissues. Continuous cultured cells from these transgenic rabbits were capable of presenting both endogenous and exogenous HLA-A2.1-restricted epitopes to an HLA-A2.1-restricted epit...

Vaccine development efforts will be guided by algorithms that predict immunogenic epitopes. Such prediction methods rely on classification-based algorithms that are trained against curated data sets of known B and T cell epitopes. It is unclear whether this empirical approach can be applied prospectively to predict epitopes associated with protective immunity for novel antigens. We present a co...

This paper presents a novel approach to epitope prediction based on the clustering of known T-cell epitopes for a given MHC class I allele (HLA-A*0201). A combination of association rules (ARs) and sequence-structure patterns (SSPs) was used to do the clustering of training set epitopes from the Antijen database. A regression model was then built from each cluster and a peptide from the test se...