A whole-genome bioinformatics approach to selection of antigens for systematic antibody generation
2008 (English)In: Proteomics, ISSN 1615-9853, E-ISSN 1615-9861, Vol. 8, no 14, 2832-2839 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2008. Vol. 8, no 14, 2832-2839 p.
antibody generation, antigen selection, bioinformatics, epitope, sequence similarity, CELL EPITOPE PREDICTION, HUMAN PROTEOME, B-CELL, DETERMINANTS, EXPRESSION, PROTEINS, PROGRAM, SITES, ATLAS, GENE
IdentifiersURN: urn:nbn:se:kth:diva-8256DOI: 10.1002/pmic.200800203ISI: 000258117400007ScopusID: 2-s2.0-48949107645OAI: oai:DiVA.org:kth-8256DiVA: diva2:13530
QC 201007052008-04-222008-04-222010-09-07Bibliographically approved