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T-Epitope Designer: A HLA-peptide binding prediction server. | LitMetric

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

Bioinformation

School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798.

Published: May 2005

AI Article Synopsis

  • The challenge in synthetic vaccine design is to identify and test short antigen peptides that can serve as T-cell epitopes.
  • A new HLA-peptide binding model has been developed, predicting how peptides bind to any HLA allele using structural properties derived from X-ray crystal structures.
  • A web server called T-EPITOPE DESIGNER has been created for predicting peptide binding, which offers advantages over existing methods and can aid in T cell epitope vaccine design.

Article Abstract

Unlabelled: 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/

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891623PMC
http://dx.doi.org/10.6026/97320630001021DOI Listing

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