生化工程
蛋白质工程
合理设计
计算机科学
翻译后修饰
催化效率
化学
领域(数学)
工业生物技术
酶
纳米技术
生物技术
定向进化
工程类
计算生物学
系统工程
蛋白质设计
透视图(图形)
软件
环境友好型
风险分析(工程)
生物化学
作者
Yaoguang Huang,Lingrong Wen,Bao Kang. Yang
标识
DOI:10.1021/acs.jafc.5c13434
摘要
Enzymes are environmentally friendly biocatalysts that play a crucial role in catalyzing biochemical reactions. However, the catalytic performance of natural enzymes often cannot fully meet the demands of industrial production. Rapidly developing AI tool-assisted protein engineering modification strategies can be used to significantly enhance the catalytic properties of enzymes. The review highlights the functional features of different protein language models and their representative tools. In addition, the system reviews various software tools used for analyzing protein catalytic performance evaluation indicators and provides a detailed comparison of the success rates and application permissions of different tools. Finally, the challenges and future directions of AI techniques in protein engineering are emphasized to strengthen the role of rational computations in protein design and personalization. This review provides a comprehensive perspective for researchers to promote further development in the field of protein engineering.
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