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Catalytically Perfect Enzymes01:07

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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.
 
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The use of enzymes by humans dates to 7000 BCE. Humans first used enzymes to ferment sugars and produce alcohol without knowing that this was an enzyme-catalyzed reaction. Wilhelm Kuhne coined the term 'enzyme' in 1877 from the Greek words ‘en’ meaning ‘in’ or ‘within’ and ‘zyme’ meaning ‘yeast.’
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Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Web-based tools for computational enzyme design.

Sérgio M Marques1, Joan Planas-Iglesias1, Jiri Damborsky1

  • 1Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, Kamenice 5/C13, 625 00 Brno, Czech Republic; International Centre for Clinical Research, St. Anne's University Hospital Brno, Pekarska 53, 656 91 Brno, Czech Republic.

Current Opinion in Structural Biology
|March 5, 2021
PubMed
Summary
This summary is machine-generated.

Enzyme engineering enhances biocatalyst performance for biotechnology. Recent web tools simplify computational methods, reducing experimental work for researchers seeking improved enzyme properties like stability and activity.

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Area of Science:

  • Biotechnology and Biochemistry
  • Computational Biology
  • Enzyme Engineering

Background:

  • Enzymes are crucial biocatalysts for diverse biotechnological applications.
  • Natural enzymes often require engineering to optimize properties such as activity, selectivity, stability, and solubility for specific uses.
  • Computational methods are increasingly vital for predicting beneficial mutations, significantly reducing experimental effort.

Purpose of the Study:

  • To review recent outstanding web-based computational tools for enzyme engineering.
  • To highlight the accessibility and user-friendliness of these platforms for non-expert users.
  • To discuss future perspectives in the field of computational enzyme engineering.

Main Methods:

  • Review and description of current web-based computational tools for enzyme engineering.
  • Emphasis on user-friendliness, accessibility, and reduced experimental burden.
  • Analysis of how these tools aid in fine-tuning enzyme properties.

Main Results:

  • Identification of several recent, user-friendly web tools for enzyme engineering.
  • Demonstration that these platforms significantly narrow down mutation possibilities.
  • Confirmation of reduced experimental workload through computational predictions.

Conclusions:

  • Web-based computational tools are making advanced enzyme engineering accessible to a broader scientific audience.
  • These tools are instrumental in accelerating the development of tailored biocatalysts.
  • The field is progressing towards more efficient and accessible enzyme optimization strategies.