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

• 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Industriell bioteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Industrial Biotechnology (hsv//eng)

Nyckelord

antibody generation

antigen selection

bioinformatics

epitope

sequence similarity

CELL EPITOPE PREDICTION

HUMAN PROTEOME

B-CELL

DETERMINANTS

EXPRESSION

PROTEINS

PROGRAM

SITES

ATLAS

GENE

Bioengineering

Bioteknik

Publikations- och innehållstyp

ref (ämneskategori)

art (ämneskategori)