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PERRC: Protease Engineering with Reactant Residence Time Control.

Sage Nelson1, Jokent Gaza2, Seyednima Ajayebi1

  • 1Department of Chemical Engineering, University of Florida, Gainesville, 32611, USA.

Biorxiv : the Preprint Server for Biology
|March 17, 2025
PubMed
Summary
This summary is machine-generated.

Researchers engineered a protease with enhanced specificity using Protease Engineering with Reactant Residence Time Control (PERRC). This method precisely controls evolution stringency, creating a new protease variant (TEVESNp) with a 65-fold preference for its target substrate.

Keywords:
High-Throughput ScreeningProtease EngineeringTobacco Etch Virus (TEV) proteaseYeast Surface Display

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Protein Engineering

Background:

  • Proteases with engineered specificity are valuable for therapeutics and biotechnology.
  • Broad substrate specificity of natural proteases limits their applications.
  • Engineering protease specificity is challenging due to residual activity on native substrates.

Purpose of the Study:

  • To develop a novel platform for engineering protease specificity.
  • To create an orthogonal protease variant with high substrate selectivity.
  • To demonstrate the utility of the platform in constructing protein circuits.

Main Methods:

  • Developed Protease Engineering with Reactant Residence Time Control (PERRC) platform.
  • PERRC utilizes endoplasmic reticulum (ER) retention sequence strength and residence time.
  • Adjusted counterselection to selection substrate ratios for precise evolution control.

Main Results:

  • Evolved an orthogonal tobacco etch virus protease variant (TEVESNp).
  • TEVESNp shows a 65-fold preference for a single-amino-acid-altered substrate (ENLYFES) over its parent (ENLYFQS).
  • Demonstrated TEVESNp's function in bacterial orthogonal protein circuit construction.

Conclusions:

  • PERRC enables precise engineering of protease specificity.
  • TEVESNp is the first engineered orthogonal protease with high selectivity based on a single amino acid difference.
  • Molecular dynamics simulations revealed functional active site rearrangements.