Title

T-Epitope Designer: A HLA-peptide binding prediction server

Authors

Pandjassarame Kangueane* and Meena Kishore Sakharkar

Affiliation

School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

E-mail*

mpandjassarame@ntu.edu.sg; * Corresponding author

Article Type

Web server

Date

received May 5, 2005; accepted  May 11, 2005; published online May 15, 2005

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.

Availability

http://www.bioinformation.net/ted/

Keywords

HLA; peptide; binding; prediction; immunity; T-cell; epitope; design; vaccine

Citation

P. Kangueane & M.K. Sakharkar, Bioinformation 1(1): 21-24 (2005)

Edited by

P.A. Reche

ISSN

0973-2063

Publisher

Biomedical Informaticsp

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.