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Recursive ensemble mutagenesis

S Delagrave1, E R Goldman, D C Youvan

  • 1Massachusetts Institute of Technology, Department of Chemistry, Cambridge 02139.

Protein Engineering
|April 1, 1993
PubMed
Summary
This summary is machine-generated.

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Recursive ensemble mutagenesis (REM) efficiently finds functional proteins distant from wild type. This molecular genetics technique accelerates the discovery of beneficial mutations, outperforming conventional methods.

Area of Science:

  • Molecular Biology
  • Protein Engineering
  • Biotechnology

Background:

  • Identifying functional proteins with significant mutations from wild type is challenging.
  • Conventional methods like combinatorial cassette mutagenesis (CCM) have limitations in exploring protein sequence space efficiently.

Purpose of the Study:

  • To develop a broadly applicable experimental procedure for discovering functional proteins with multiple mutations.
  • To adapt optimization algorithms for efficient protein sequence space exploration.
  • To introduce and validate a novel molecular genetics technique, recursive ensemble mutagenesis (REM).

Main Methods:

  • Adapted optimization algorithms to search protein sequence space.
  • Developed recursive ensemble mutagenesis (REM), a technique integrating computational search principles with molecular genetics.

Related Experiment Videos

  • Utilized information from previous combinatorial cassette mutagenesis (CCM) iterations to guide REM.
  • Simultaneously mutated six amino acid residues in a model protein using REM.
  • Main Results:

    • One iteration of REM increased the frequency of beneficial mutants by 30-fold compared to conventional CCM.
    • REM efficiently searches protein sequence space by leveraging data from prior mutagenesis rounds.
    • Extrapolation suggests REM could yield a 30,000-fold increase in positive mutant throughput for 18 mutated sites compared to random mutagenesis.

    Conclusions:

    • Recursive ensemble mutagenesis (REM) is a powerful and efficient method for protein engineering.
    • REM significantly enhances the discovery rate of functional proteins with multiple desired mutations.
    • This technique offers a substantial improvement over existing methods for exploring protein sequence diversity.