Document Type
Article
Publication Date
4-9-2010
Publication Title
BMC Bioinformatics
Department
Department of Computer Science
Abstract
To develop protein therapeutics from exogenous sources, it is necessary to mitigate the risks of eliciting an anti-biotherapeutic immune response. A key aspect of the response is the recognition and surface display by antigen-presenting cells of epitopes, short peptide fragments derived from the foreign protein. Thus, developing minimal-epitope variants represents a powerful approach to deimmunizing protein therapeutics. Critically, mutations selected to reduce immunogenicity must not interfere with the protein's therapeutic activity.
DOI
10.1186/1471-2105-11-180
Original Citation
Parker AS, Zheng W, Griswold KE, Bailey-Kellogg C. Optimization algorithms for functional deimmunization of therapeutic proteins. BMC Bioinformatics. 2010 Apr 9;11:180. doi: 10.1186/1471-2105-11-180. PMID: 20380721; PMCID: PMC2873530.
Dartmouth Digital Commons Citation
Parker, Andrew S.; Zheng, Wei; Griswold, Karl E.; and Bailey-Kellogg, Chris, "Optimization Algorithms for Functional Deimmunization of Therapeutic Proteins" (2010). Dartmouth Scholarship. 569.
https://digitalcommons.dartmouth.edu/facoa/569
