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...
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Published in | Cellular and molecular life sciences : CMLS Vol. 71; no. 24; pp. 4869 - 4880 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Basel
Springer-Verlag
01.12.2014
Springer Basel Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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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. |
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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 |