透视图(图形)
酶
路径(计算)
计算机科学
合成生物学
人工酶
化学
蛋白质工程
生化工程
计算生物学
管理科学
日常生活
航程(航空)
工程类
纳米技术
生物化学
蛋白质设计
人工智能
底物特异性
钥匙(锁)
作者
Sebastian Lindner,Florence J. Hardy,Donald Hilvert
出处
期刊:Biochemistry
[American Chemical Society]
日期:2026-07-09
卷期号:65 (14): 2202-2212
被引量:1
标识
DOI:10.1021/acs.biochem.6c00356
摘要
Artificial intelligence is rapidly transforming everyday life and driving major advances across science. De novo enzyme design is an area of particular promise, with implications for medicine, biotechnology, and industry. Recent applications of AI-enhanced methodologies have yielded a range of enzymes with catalytic activities that were previously unattainable through conventional approaches. This perspective surveys emerging strategies and computational models that are redefining enzyme engineering and examines the opportunities and challenges on the path toward truly on-demand enzyme design.
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