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A whole‐genome bioinformatics approach to selection of antigens for systematic antibody generation
Author(s) -
Berglund Lisa,
Björling Erik,
Jonasson Kalle,
Rockberg Johan,
Fagerberg Linn,
AlKhalili Szigyarto Cristina,
Sivertsson Åsa,
Uhlén Mathias
Publication year - 2008
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200800203
Subject(s) - genome , computational biology , biology , epitope , gene , visualization , antigen , selection (genetic algorithm) , genetics , computer science , data mining , artificial intelligence
Abstract 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.