Wang Dequan, Tan Zheling, Gao Jin, Zhang Shaoting, Shen Jiaqi, Lu Yuming
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Sci China Life Sci. 2025 Jun 20. doi: 10.1007/s11427-024-2906-3.
Artificial intelligence (AI) has revolutionized the protein engineering process from multiple aspects, including representing protein information, generating protein designs, and evaluating protein properties. This review aims to introduce the recent progress of AI in protein research. We first introduce how AI models represent protein sequences, structures, and other properties. Further, the applications of generative models in protein design are introduced. The use of predictive models and smart agents in the evaluation process is then discussed, including high-precision protein property simulation and wet lab experimental design. Additionally, we discuss the future development of AI in protein research and the potential challenges it may encounter.
人工智能（AI）已从多个方面彻底改变了蛋白质工程过程，包括表示蛋白质信息、生成蛋白质设计以及评估蛋白质特性。本综述旨在介绍人工智能在蛋白质研究方面的最新进展。我们首先介绍人工智能模型如何表示蛋白质序列、结构和其他特性。此外，还介绍了生成模型在蛋白质设计中的应用。然后讨论预测模型和智能代理在评估过程中的使用，包括高精度蛋白质特性模拟和湿实验室实验设计。此外，我们还讨论了人工智能在蛋白质研究中的未来发展以及可能遇到的潜在挑战。
