title: T-Epitope Designer: A HLA-peptide binding prediction server.
abstract: The current challenge in synthetic vaccine design is the development of a methodology to identify and test short antigen peptides as potential T-cell epitopes. Recently, we described a HLA-peptide binding model (using structural properties) capable of predicting peptides binding to any HLA allele. Consequently, we have developed a web server named T-EPITOPE DESIGNER to facilitate HLA-peptide binding prediction. The prediction server is based on a model that defines peptide binding pockets using information gleaned from X-ray crystal structures of HLA-peptide complexes, followed by the estimation of peptide binding to binding pockets. Thus, the prediction server enables the calculation of peptide binding to HLA alleles. This model is superior to many existing methods because of its potential application to any given HLA allele whose sequence is clearly defined. The web server finds potential application in T cell epitope vaccine design.
  
  
  BACKGROUND
  http://www.bioinformation.net/ted/
authors.affiliation: School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798. mpandjassarame@ntu.edu.sg
authors.forename: Pandjassarame
authors.initials: P
authors.lastname: Kangueane
authors.forename: Meena Kishore
authors.initials: MK
authors.lastname: Sakharkar