Related Experiment Video
Updated: Jul 11, 2025
08:10
Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System
Published on: August 8, 2016
8.8K
Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and
Braun Markus1, Gruber Christian C2, Krassnigg Andreas2
1Department of Biochemistry, Graz University of Technology, Petersgasse 12/2, 8010 Graz, Austria.
ACS Catalysis
|November 9, 2023
Summary
Computational tools, including artificial intelligence and machine learning, are revolutionizing enzyme engineering for biocatalysis. These advancements accelerate the optimization of enzymes for pharmaceutical applications, offering faster and more accurate solutions.
Area of Science:
- Biocatalysis
- Protein Engineering
- Computational Biology
Background:
- Predictive algorithms have aided protein sequence space navigation for over a decade.
- Recent advances in computational tools have spurred rapid progress in enzyme identification, characterization, and engineering.
- Artificial intelligence (AI) and machine learning (ML) are now integral to modern protein science.
Purpose of the Study:
- To review the current applications of computational tools in the pharmaceutical industry for biocatalysis.
- To highlight innovative approaches and recent developments in protein engineering.
- To discuss future opportunities and critically assess the limitations of AI/ML in biocatalysis.
Main Methods:
- Perspective-based review of current literature and industry trends.
- Analysis of recent developments in computational protein engineering.
- Critical assessment of AI and ML technologies in biocatalysis.
Main Results:
- Computational tools, particularly AI and ML, are significantly accelerating enzyme engineering.
- These technologies enhance the speed, accuracy, and cost-effectiveness of enzyme development.
- The pharmaceutical industry is increasingly adopting these advanced computational approaches.
Conclusions:
- AI and ML are transforming biocatalysis and protein engineering.
- Further research is needed to address current limitations and challenges.
- The potential for AI/ML in developing efficient biocatalysts is substantial.
Related Concept Videos
01:07Catalytically Perfect Enzymes
4.0K
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...
Most enzymes...
4.0K
01:22Introduction to Enzymes
17.9K
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.’
Most enzymes are proteins that speed up biochemical reactions without being consumed. Enzymes contain one or more active sites that...
Most enzymes are proteins that speed up biochemical reactions without being consumed. Enzymes contain one or more active sites that...
17.9K
01:13Introduction to Mechanisms of Enzyme Catalysis
8.2K
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...
8.2K
02:34Enzymes
81.6K
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.
Enzyme deficiencies can often translate into life-threatening diseases. For example, a genetic abnormality resulting in the deficiency of the enzyme G6PD...
Enzyme deficiencies can often translate into life-threatening diseases. For example, a genetic abnormality resulting in the deficiency of the enzyme G6PD...
81.6K
01:19Turnover Number and Catalytic Efficiency
10.2K
The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
10.2K