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10:58
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Design of protein catalysts
1Laboratory of Organic Chemistry, ETH Zürich, 8093 Zürich, Switzerland. hilvert@org.chem.ethz.ch
Annual Review of Biochemistry
|June 11, 2013
Summary
Computational and evolutionary methods are advancing enzyme engineering for novel catalytic activities. Designed enzymes catalyze nonbiological reactions, serving as foundations for further laboratory evolution and functional studies.
Area of Science:
- Biochemistry
- Computational Biology
- Protein Engineering
Background:
- Enzyme engineering aims to create novel catalytic activities.
- Computational approaches offer promising strategies for enzyme design.
- Existing computationally designed enzymes catalyze various nonbiological reactions.
Purpose of the Study:
- To review progress in combining computational and evolutionary approaches for enzyme design.
- To highlight insights into enzyme function from engineered catalysts.
Main Methods:
- Computational enzyme design for nonbiological reactions.
- Laboratory evolution of computationally designed enzymes.
- Analysis of enzyme function in engineered catalysts.
Main Results:
- Computationally designed enzymes can promote reactions like Diels-Alder cycloadditions and proton transfers.
- Engineered enzyme efficiencies are currently lower than natural enzymes but serve as valuable starting points.
- Combined computational and evolutionary strategies enhance enzyme design.
Conclusions:
- The synergy between computational design and laboratory evolution is key to advancing enzyme engineering.
- Engineered enzymes provide valuable insights into fundamental enzyme function.
- This integrated approach holds significant potential for creating bespoke biocatalysts.
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