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Related Concept Videos

Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

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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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Enzymes02:34

Enzymes

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Inside living organisms, enzymes act as catalysts for many biochemical reactions involved in cellular metabolism. The role of enzymes is to reduce the activation energies of biochemical reactions by forming complexes with its substrates. The lowering of activation energies favor an increase in the rates of biochemical reactions.
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Ribozymes02:47

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The term ribozyme is used for RNA that can act as an enzyme. Ribozymes are mainly found in selected viruses, bacteria, plant organelles, and lower eukaryotes. Ribozymes were first discovered in 1982 when Tom Cech’s laboratory observed Group I introns acting as enzymes. This was shortly followed by the discovery of another ribozyme, Ribonulcease P, by Sid Altman’s laboratory. Both Cech and Altman received the Nobel Prize in chemistry in 1989 for their work on ribozymes.
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For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
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Related Experiment Video

Updated: May 31, 2025

Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System
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Rational multienzyme architecture design with iMARS.

Jiawei Wang1, Xingyu Ouyang2, Shiyu Meng3

  • 1State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 200240, China.

Cell
|January 24, 2025
PubMed
Summary
This summary is machine-generated.

We developed iMARS, a framework for designing multienzyme architectures to boost biocatalysis. This approach significantly enhances the production of valuable compounds and plastic degradation, paving the way for greener industrial applications.

Keywords:
PET biodegradationbiocatalysisbiomanufacturingfusion enzymemultienzyme assemblyscaffold complexsynthetic biology

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Related Experiment Videos

Last Updated: May 31, 2025

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Area of Science:

  • Biocatalysis and Synthetic Biology
  • Metabolic Engineering
  • Protein Engineering

Background:

  • Spatial organization of enzymes in biocatalytic cascades is crucial for efficiency but poorly understood.
  • Predictable engineering of multienzyme architectures remains a significant challenge in synthetic biology.

Purpose of the Study:

  • To develop a standardized framework, iMARS, for rapid design of optimal multienzyme architectures.
  • To demonstrate the effectiveness of iMARS in enhancing in vivo and in vitro biocatalytic processes.

Main Methods:

  • Integration of high-throughput activity testing and structural analysis within the iMARS framework.
  • Design and engineering of artificial fusion enzymes and multienzyme complexes.
  • Application of iMARS in various biomanufacturing processes, including small molecule synthesis and polymer degradation.

Main Results:

  • iMARS significantly improved in vivo production of resveratrol (45.1-fold) and raspberry ketone (11.3-fold).
  • Enhanced ergothioneine synthesis in fed-batch fermentation using iMARS-designed enzymes.
  • Increased in vitro catalytic efficiency for PET plastic depolymerization and vanillin biosynthesis.

Conclusions:

  • The iMARS framework provides a generalizable and flexible strategy for molecular-level multienzyme architectural engineering.
  • iMARS facilitates advancements in green chemistry, synthetic biology, and biomanufacturing through optimized biocatalytic efficiency.
  • This approach enables predictable performance and industrial-scale applications for complex enzymatic pathways.