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Related Experiment Video

Updated: Sep 7, 2025

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

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Highly efficient libraries design for saturation mutagenesis.

Gur Pines1, Assaf Pines, Carrie A Eckert2

  • 1Department of Entomology, Institute of Plant Protection, Agricultural Research Organization-The Volcani Center, Rishon, LeZion, Israel.

Synthetic Biology (Oxford, England)
|June 23, 2022
PubMed
Summary
This summary is machine-generated.

Saturation mutagenesis protein engineering is enhanced by a codon compression algorithm. The tool now considers codon distance, reducing library size for more efficient screening and broader saturation.

Keywords:
codon compressionlibrary designprotein engineeringsaturation mutagenesis

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Area of Science:

  • Protein Engineering
  • Molecular Biology
  • Bioinformatics

Background:

  • Saturation mutagenesis is a semi-rational protein engineering technique.
  • It involves altering specific amino acid sites to explore functional diversity.
  • Previous work introduced a codon compression algorithm for designing mutant libraries.

Purpose of the Study:

  • To enhance a web-based protein engineering tool for saturation mutagenesis.
  • To incorporate a new feature considering the distance between wild-type and mutant codons.
  • To reduce the size of degenerate codon libraries for more efficient screening.

Main Methods:

  • Developed an addition to an existing codon compression algorithm and web tool.
  • The algorithm now accounts for the mutational distance from the wild-type codon.
  • User-defined parameters include target organism, saturation type, and codon usage.

Main Results:

  • The enhanced tool generates restricted codon collections based on codon distance.
  • This approach significantly reduces library size compared to full saturation.
  • Smaller libraries enable more comprehensive saturation of multiple sites or reduce screening efforts.

Conclusions:

  • The updated codon compression algorithm and web tool offer improved library design for saturation mutagenesis.
  • Considering codon distance provides a more refined method for generating mutant libraries.
  • This facilitates more efficient protein engineering workflows and broader exploration of protein variants.