Unknown

Dataset Information

0

Removing T-cell epitopes with computational protein design.


ABSTRACT: Immune responses can make protein therapeutics ineffective or even dangerous. We describe a general computational protein design method for reducing immunogenicity by eliminating known and predicted T-cell epitopes and maximizing the content of human peptide sequences without disrupting protein structure and function. We show that the method recapitulates previous experimental results on immunogenicity reduction, and we use it to disrupt T-cell epitopes in GFP and Pseudomonas exotoxin A without disrupting function.

SUBMITTER: King C 

PROVIDER: S-EPMC4060723 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Removing T-cell epitopes with computational protein design.

King Chris C   Garza Esteban N EN   Mazor Ronit R   Linehan Jonathan L JL   Pastan Ira I   Pepper Marion M   Baker David D  

Proceedings of the National Academy of Sciences of the United States of America 20140519 23


Immune responses can make protein therapeutics ineffective or even dangerous. We describe a general computational protein design method for reducing immunogenicity by eliminating known and predicted T-cell epitopes and maximizing the content of human peptide sequences without disrupting protein structure and function. We show that the method recapitulates previous experimental results on immunogenicity reduction, and we use it to disrupt T-cell epitopes in GFP and Pseudomonas exotoxin A without  ...[more]

Similar Datasets

| S-EPMC9651861 | biostudies-literature
| S-EPMC11352882 | biostudies-literature
| S-EPMC8578660 | biostudies-literature
| S-EPMC3631354 | biostudies-literature
| S-EPMC3358839 | biostudies-literature
| S-EPMC6154621 | biostudies-literature
| S-EPMC4845728 | biostudies-literature
| S-EPMC4318719 | biostudies-literature
| S-EPMC1200299 | biostudies-literature
| S-EPMC4828276 | biostudies-literature