基于多序列比对和机器学习的祖先腈水解酶设计及突变体的应用
By designing and modifying the ancestral nitrile hydrolase using the ASSMD strategy, the problem of insufficient thermal stability of nitrile hydrolases in existing technologies was solved, and the effect of highly efficient catalytic hydrolysis of nitrile compounds was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JIANGNAN UNIV
- Filing Date
- 2024-09-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to effectively extract nitrile hydrolases with high thermal stability from extinct extremophiles, and the culture and growth conditions of their host microorganisms are relatively harsh, making it difficult to replicate them in the laboratory.
Using the ASSMD strategy, ancestral nitrile hydrolases were designed through multiple sequence alignment and machine learning. An ancestral enzyme sequence-structure-molecular dynamics parameter library was constructed, and extreme thermophilic ancestral enzymes were screened out and mutated to improve their thermal stability and enzyme activity.
A mutant of an extreme thermophilic nitrile hydrolase that can withstand temperatures up to 90°C was successfully discovered and modified, which significantly improved the enzyme’s thermal stability and catalytic efficiency, making it suitable for the hydrolysis of nitrile compounds under high-temperature conditions.
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Abstract
Citation Information
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