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A Protocol for Computer-Based Protein Structure and Function Prediction
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Artificial Intelligence Technology Assists Enzyme Prediction and Rational Design.
Yuhang Wang1, Shuangxin Han1, Yi Wang2
1The Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214126, China.
Journal of Agricultural and Food Chemistry
|March 11, 2025
Summary
Artificial intelligence (AI) is revolutionizing enzyme engineering by improving structural elucidation and functional prediction. This technology accelerates the rational design of enzymes, enhancing their applications across various scientific fields.
Area of Science:
- Biochemistry
- Computational Biology
- Enzyme Engineering
Background:
- Enzyme structure dictates function, crucial for understanding catalytic mechanisms and enabling rational design.
- Artificial intelligence (AI) is transforming theoretical enzymology and enzyme engineering.
Purpose of the Study:
- To review AI's role in enzyme structural elucidation and functional prediction.
- To highlight AI-driven rational enzyme design, including algorithms and case studies.
Main Methods:
- Review of AI development in enzymology.
- Analysis of AI algorithms for enzyme structure and function.
- Case studies of AI-assisted enzyme design.
Main Results:
- AI significantly enhances the understanding of enzyme structure-function relationships.
- AI facilitates more efficient and deeper comprehension of enzymatic processes.
- AI streamlines the rational design of novel enzymes.
Conclusions:
- AI technology is pivotal for advancing enzyme engineering.
- AI promotes the widespread application of enzyme engineering in diverse fields.
- AI deepens our understanding of enzyme structure and function.
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