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Protein language model-assisted directed evolution of cyclodextrinase Enables Precision α-O-Oligosaccharide synthesis

蛋白质语言模型辅助的环糊精酶定向进化实现精准 α-O-寡糖合成

关键词:
来源:
Bioresource Technology
来源地址:
https://doi.org/10.1016/j.biortech.2025.133206
类型:
学术文献
语种:
英语
原文发布日期:
2025-08-25
摘要:
Stereoselective synthesis of α-O-oligosaccharides remains a key challenge in glycobiology. While glycoside hydrolase-mediated transglycosylation is promising, current methods yield excessive byproducts and show low specificity. Here, we establish a glycoside hydrolase-based system for precise oligosaccharide synthesis using cyclodextrin as donor. Guided by an extra sugar binding space (ESBS) motif probe, a cyclodextrinase from Paenibacillus sp. MY03 was identified with a naturally high transglycosylation-to-hydrolysis (T/H) ratio. Using Pro-PRIME, a protein language model, we optimized three enzymatic properties—enhancing transglycosylation, reducing hydrolysis, and improving regioselectivity—based on minimal beneficial mutation data. Among 68 screened variants, the top mutant showed a 12-fold higher T/H ratio and improved 4-nitrophenyl-α-d-maltoheptaoside (pNP-G7) yield from 63 % to 98 %. The engineered enzyme also showed broad substrate promiscuity, underscoring its utility for diverse biotechnological applications. This study advances α-O-oligosaccharide synthesis and demonstrates the power of language model-guided enzyme engineering to balance competing catalytic activities.
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