Computationally driven deletion of broadly distributed T cell epitopes in a biotherapeutic candidate

Biotherapeutics are subject to immune surveillance within the body, and anti-biotherapeutic immune responses can compromise drug efficacy and patient safety. Initial development of targeted antidrug immune memory is coordinated by T cell recognition of immunogenic subsequences, termed “T cell epitop...

Full description

Saved in:
Bibliographic Details
Published inCellular and molecular life sciences : CMLS Vol. 71; no. 24; pp. 4869 - 4880
Main Authors Salvat, Regina S, Parker, Andrew S, Guilliams, Andrew, Choi, Yoonjoo, Bailey-Kellogg, Chris, Griswold, Karl E
Format Journal Article
LanguageEnglish
Published Basel Springer-Verlag 01.12.2014
Springer Basel
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Biotherapeutics are subject to immune surveillance within the body, and anti-biotherapeutic immune responses can compromise drug efficacy and patient safety. Initial development of targeted antidrug immune memory is coordinated by T cell recognition of immunogenic subsequences, termed “T cell epitopes.” Biotherapeutics may therefore be deimmunized by mutating key residues within cognate epitopes, but there exist complex trade-offs between immunogenicity, mutational load, and protein structure–function. Here, a protein deimmunization algorithm has been applied to P99 beta-lactamase, a component of antibody-directed enzyme prodrug therapies. The algorithm, integer programming for immunogenic proteins, seamlessly integrates computational prediction of T cell epitopes with both 1- and 2-body sequence potentials that assess protein tolerance to epitope-deleting mutations. Compared to previously deimmunized P99 variants, which bore only one or two mutations, the enzymes designed here contain 4–5 widely distributed substitutions. As a result, they exhibit broad reductions in major histocompatibility complex recognition. Despite their high mutational loads and markedly reduced immunoreactivity, all eight engineered variants possessed wild-type or better catalytic activity. Thus, the protein design algorithm is able to disrupt broadly distributed epitopes while maintaining protein function. As a result, this computational tool may prove useful in expanding the repertoire of next-generation biotherapeutics.
Bibliography:http://dx.doi.org/10.1007/s00018-014-1652-x
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Present Address: A. S. Parker, Zettics, 150 Baker Ave. Ext., Ste. 201, Concord, MA, USA
Present Address: A. Guilliams, Mascoma Corp., 67 Old Etna Road #300, Lebanon, NH, USA
ISSN:1420-682X
1420-9071
1420-9071
DOI:10.1007/s00018-014-1652-x