A whole-genome bioinformatics approach to selection of antigens for systematic antibody generation

Proteomics. 2008 Jul;8(14):2832-9. doi: 10.1002/pmic.200800203.


Here, we present an antigen selection strategy based on a whole-genome bioinformatics approach, which is facilitated by an interactive visualization tool displaying protein features from both public resources and in-house generated data. The web-based bioinformatics platform has been designed for selection of multiple, non-overlapping recombinant protein epitope signature tags by display of predicted information relevant for antigens, including domain- and epitope sized sequence similarities to other proteins, transmembrane regions and signal peptides. The visualization tool also displays shared and exclusive protein regions for genes with multiple splice variants. A genome-wide analysis demonstrates that antigens for approximately 80% of the human protein-coding genes can be selected with this strategy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acid Sequence
  • Antibody Formation / genetics*
  • Antigens / genetics
  • Antigens / immunology*
  • Base Sequence
  • Computational Biology / methods*
  • Epitopes / genetics
  • Epitopes / immunology
  • Genome, Human / immunology*
  • Humans
  • Internet
  • Molecular Sequence Data
  • Software


  • Antigens
  • Epitopes