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Related Experiment Videos

Improving catalytic function by ProSAR-driven enzyme evolution.

Richard J Fox1, S Christopher Davis, Emily C Mundorff

  • 1Codexis, Inc., 200 Penobscot Drive, Redwood City, California 94063, USA.

Nature Biotechnology
|February 27, 2007
PubMed
Summary
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This study introduces a new enzyme evolution method combining directed evolution with protein sequence activity relationship analysis. This approach significantly enhanced a bacterial halohydrin dehalogenase for atorvastatin synthesis.

Area of Science:

  • Biocatalysis and enzyme engineering
  • Protein engineering and directed evolution
  • Process chemistry and optimization

Background:

  • Enzyme evolution is crucial for developing biocatalysts that meet industrial process demands.
  • Traditional directed evolution methods can be limited in optimizing enzymes for specific criteria.
  • Protein sequence activity relationships (ProSAR) offer insights into enzyme function but require advanced analytical strategies.

Purpose of the Study:

  • To develop a hybrid enzyme evolution strategy combining directed evolution with ProSAR analysis.
  • To enhance enzyme optimization by capturing additional information from sequence-activity data.
  • To engineer a bacterial halohydrin dehalogenase for improved performance in a commercially relevant process.

Main Methods:

Related Experiment Videos

  • Augmenting recombination-based directed evolution with a statistical ProSAR analysis strategy.
  • Utilizing sequence-activity data to identify beneficial mutations, even in variants with reduced function.
  • Applying the hybrid approach to evolve a bacterial halohydrin dehalogenase for a cyanation process.

Main Results:

  • Achieved an approximately 4,000-fold improvement in volumetric productivity for the cyanation process.
  • Successfully engineered a bacterial halohydrin dehalogenase meeting practical design criteria for atorvastatin synthesis.
  • The optimized enzyme variants contained at least 35 mutations, demonstrating significant evolutionary changes.

Conclusions:

  • The hybrid directed evolution and ProSAR approach is broadly applicable for generating enzymes tailored to specific process-design criteria.
  • This method enables effective enzyme optimization by leveraging comprehensive sequence-activity data.
  • The engineered halohydrin dehalogenase demonstrates the potential of this approach for industrial biocatalysis, particularly in pharmaceutical synthesis.