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Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced

Regina S Salvat1, Deeptak Verma2, Andrew S Parker2

  • 1Thayer School of Engineering, Dartmouth College, Hanover, NH 03755.

Proceedings of the National Academy of Sciences of the United States of America
|June 14, 2017
PubMed
Summary

We developed an algorithm to reduce immune responses to therapeutic proteins by optimizing mutations. This approach successfully created deimmunized protein variants with high efficacy and reduced immunogenicity, improving potential treatments.

Keywords:
T-cell epitopecombinatorial librarycomputational protein designdeimmunizationimmunogenicity

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Area of Science:

  • Biotechnology
  • Immunology
  • Protein Engineering

Background:

  • Therapeutic proteins are vital for disease treatment but can trigger harmful immune responses.
  • Immune surveillance of biotherapeutics can lead to reduced efficacy and safety concerns.

Purpose of the Study:

  • To develop a method for eliminating T-cell epitopes in biotherapeutics.
  • To mitigate detrimental immune recognition of therapeutic proteins.
  • To create deimmunized protein variants with retained or improved function.

Main Methods:

  • Developed a Pareto optimal deimmunization library design algorithm.
  • Optimized protein libraries considering simultaneous effects of mutations on function and epitope content.
  • Utilized high-throughput screening and ex vivo cellular immunoassays.

Main Results:

  • Screening of a 10-site library of P99 β-lactamase (P99βL) showed high fitness and reduced immunogenic potential.
  • A 30-site library yielded variants with enhanced activity and stability despite numerous deimmunizing mutations.
  • A 14-mutation variant silenced T-cell activation in 7 of 8 donors compared to wild-type P99βL.

Conclusions:

  • The multiobjective library design efficiently identified compatible epitope-deleting mutations.
  • The process generated highly active, aggressively deimmunized protein constructs.
  • This strategy offers a promising approach to enhance the safety and efficacy of protein therapeutics.