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Catalytically Perfect Enzymes

Catalytically Perfect Enzymes

The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.

Most enzymes...

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Related Experiment Video

Updated: Jul 11, 2025

Crystallization and Structural Determination of an Enzyme:Substrate Complex by Serial Crystallography in a Versatile Microfluidic Chip

Crystallization and Structural Determination of an Enzyme:Substrate Complex by Serial Crystallography in a Versatile Microfluidic Chip

Published on: March 20, 2021

Design of efficient artificial enzymes using crystallographically-enhanced conformational sampling.

Rojo V Rakotoharisoa^1,2, Behnoush Seifinoferest³, Niayesh Zarifi^1,2

¹Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario, Canada, K1N 6N5.

Biorxiv : the Preprint Server for Biology

|November 14, 2023

Summary

Computational design creates highly efficient artificial enzymes by analyzing protein flexibility. This method bypasses traditional directed evolution, achieving catalytic improvements comparable to natural enzymes.

Keywords:

De novo enzyme design Kemp eliminases X-ray crystallography biocatalysis directed evolution ensemble refinement

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Last Updated: Jul 11, 2025

Crystallization and Structural Determination of an Enzyme:Substrate Complex by Serial Crystallography in a Versatile Microfluidic Chip

Crystallization and Structural Determination of an Enzyme:Substrate Complex by Serial Crystallography in a Versatile Microfluidic Chip

Published on: March 20, 2021

Modeling an Enzyme Active Site using Molecular Visualization Freeware

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Published on: December 25, 2021

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Area of Science:

Biochemistry
Computational Biology
Enzyme Engineering

Background:

Developing artificial enzymes with high catalytic efficiency is a significant challenge in synthetic biology.
Current methods often rely on labor-intensive directed evolution, limiting the scope and speed of enzyme design.

Approach:

Utilized dynamics-based refinement of X-ray diffraction data to generate structural ensembles of Kemp eliminases HG3 and KE70.
Employed computational design to identify novel enzyme sequences predicted to enhance catalytic efficiency.
Validated designs through experimental characterization and crystal structure determination.

Key Points:

The computational method improved catalytic efficiency (kcat/KM) of designed enzymes by 100-250-fold.
Achieved catalytic performance comparable to enzymes evolved through extensive directed evolution.
Experimental crystal structures confirmed the accuracy of the computational models.

Conclusions:

Computational enzyme design can effectively leverage protein conformational ensembles to stabilize transition states.
This approach offers a powerful alternative to directed evolution for creating efficient artificial enzymes.
The study demonstrates a viable strategy for designing de novo enzymes for specific chemical reactions.