生物技术通报2025，Vol.41Issue(8)：1-10,10.DOI:10.13560/j.cnki.biotech.bull.1985.2025-0300
人工智能重塑蛋白质工程:从结构解析到合成生物学的算法革命
Artificial Intelligence Transforms Protein Engineering:From Structural Analysis to Synthetic Biology through Algorithmic Advancements
摘要
Abstract
The intricate relationship between protein function and its three-dimensional structure has long been a fundamental guiding principle in life sciences research.While scientists have dedicated substantial effort to deciphering protein structures,the exponential growth in sequence data fueled by rapid advances in protein sequencing technologies has significantly outpaced progress in structural studies.Over the past decade,the burgeoning field of artificial intelligence(AI),underpinned by core algorithms such as deep learning and neural networks,has emerged as a transformative force in protein engineering,offering new avenues to address this disparity.Leveraging AI,next-generation methods for protein structure prediction and design have achieved remarkable breakthroughs.These advanced algorithm-based tools have dramatically enhanced both the accuracy and speed of protein structure modeling.They are not only accelerating progress in structural biology and drug discovery but also providing crucial foundations for protein synthesis.Furthermore,AI is catalyzing a paradigm shift in protein research,moving beyond'structure determination'towards'inverse design'.By constructing multidimensional models that elucidate sequence-structure-function relationships,researchers can now reverse-engineer protein sequences with desired structural characteristics based on specific functional requirements.This capability for precise protein sequence design is paving new pathways for biosynthetic applications.This review focuses on the pivotal role of AI in protein engineering.Firstly,it outlines the current challenges in the protein engineering and the bottlenecks in traditional protein structure determination methods.Then it introduces the development of AI-based structure prediction tools,followed by an analysis of their application in protein synthesis.Finally,it then explores the algorithm-driven revolution facilitating the transition from structure determination to de novo protein synthesis,and discusses potential future directions,aiming to provide a reference framework for ongoing research in this field.关键词
人工智能/蛋白质工程/蛋白质结构预测/蛋白质设计/生物合成Key words
artificial intelligence/protein engineering/prediction of protein structure/protein design/biosynthesis引用本文复制引用
蔡如凤,杨宇轩,于基正,李佳楠..人工智能重塑蛋白质工程:从结构解析到合成生物学的算法革命[J].生物技术通报,2025,41(8):1-10,10.基金项目
湖北省重点研发项目(2022BBA064) （2022BBA064）
