Optimization algorithms for functional deimmunization of therapeutic proteins |
| |
Authors: | Andrew S Parker Wei Zheng Karl E Griswold Chris Bailey-Kellogg |
| |
Affiliation: | (1) Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA;(2) Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA |
| |
Abstract: | Background 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. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|