Literature DB >> 15130835

Immunoinformatics and the prediction of immunogenicity.

Darren R Flower1, Irini A Doytchinova.   

Abstract

Immunoinformatics is the application of informatics techniques to molecules of the immune system. One of the key goals of immunoinformatics is the development of computer aided vaccine design (CAVD), or computational vaccinology, and its application to the search for new vaccines. Key to solving this challenge is the prediction of immunogenicity, be that at the level of epitope, subunit vaccine or attenuated pathogen. This paper reviews the current state of play in the prediction of immunogenicity and focuses on well developed methods for the prediction of peptide binding affinity to major histocompatibility complexes, which are the necessary preliminary to the in silico identification of T cell epitopes.

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Year:  2002        PMID: 15130835

Source DB:  PubMed          Journal:  Appl Bioinformatics        ISSN: 1175-5636


  3 in total

1.  A probabilistic meta-predictor for the MHC class II binding peptides.

Authors:  Oleksiy Karpenko; Lei Huang; Yang Dai
Journal:  Immunogenetics       Date:  2007-12-19       Impact factor: 2.846

2.  SVRMHC prediction server for MHC-binding peptides.

Authors:  Ji Wan; Wen Liu; Qiqi Xu; Yongliang Ren; Darren R Flower; Tongbin Li
Journal:  BMC Bioinformatics       Date:  2006-10-23       Impact factor: 3.169

3.  PEPVAC: a web server for multi-epitope vaccine development based on the prediction of supertypic MHC ligands.

Authors:  Pedro A Reche; Ellis L Reinherz
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

  3 in total

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