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Data-driven engineering of protein therapeutics.

Matthew S Faber1, Timothy A Whitehead2

  • 1Dept. Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, United States.

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High-throughput DNA sequencing and synthesis technologies are revolutionizing protein therapeutic engineering. These advancements enable simultaneous optimization of critical properties like stability and immunogenicity for improved drug efficacy.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Biotechnology

Background:

  • Protein therapeutics require multiple properties beyond biochemical activity, including serum stability, low immunogenicity, and manufacturability.
  • Optimizing one property often negatively impacts others, posing a significant challenge in protein engineering.

Purpose of the Study:

  • To review the recent application of high-throughput DNA technologies for engineering protein therapeutics.
  • To highlight how advancements in DNA sequencing and synthesis are overcoming traditional protein engineering limitations.

Main Methods:

  • Leveraging human antibody repertoire sequence data for heavy and light chain pairing.
  • Employing comprehensive mutational analysis to engineer antibody specificity.
  • Utilizing ancestral and inter-species sequence data for simultaneous enzyme catalytic efficiency and stability improvements.

Main Results:

  • Demonstrated successful engineering of protein therapeutics by integrating high-throughput DNA technologies.
  • Showcased methods for optimizing multiple protein properties concurrently.
  • Highlighted the potential of sequence data for enhancing therapeutic protein design.

Conclusions:

  • High-throughput DNA technologies are transforming protein therapeutic development.
  • Future integration of protein engineering pipelines with increasing sequencing data volumes will accelerate the creation of superior protein therapeutics.