Protein Engineering Platform

New tool optimizes, expedites protein engineering

  • Predicts functional impacts of specific, targeted mutations
  • Enhances accuracy, efficiency over traditional trial-and-error mutagenesis
  • Alternative approach to gene knockout, CRISPR editing, & chemical inhibitors
  • Future machine learning integration for continuous improvement
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Description

New tool optimizes, expedites protein engineering

A new protein engineering platform enables precise modulation of protein activity without altering structural integrity of proteins, solving what had been a significant challenge in biomedical and clinical research.
 
Previous methods of precisely altering a protein’s sequence were time-consuming and expensive, limiting researchers’ ability to study its function.
 
The new tool developed at UNMC uses sequence analysis, structural modeling, and functional prediction to identify desirable sequences and mutations to target and control protein behavior (e.g., activation, inhibition) with enhanced precision.
 
The tool can be implemented across protein species and classes to offer a streamlined and computational alternative to traditional mutagenesis, knockouts, or chemical modulation techniques. The output of the platform FASTA or amino acid sequences are ready for synthesis.
 
Future development plans include AI-driven refinement and educational modules to expand accessibility.
 
To discuss licensing opportunities contact Amanda Hawley, PhD, at ahawley@unmc.edu or 402-310-5602.