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AI+生物制造风口!9个涉及蛋白质设计案例获国家级认可!
合成生物学与绿色生物制造· 2025-07-09 15:26
Core Insights - The Ministry of Industry and Information Technology (MIIT) of China has released a public notice listing the first batch of typical application cases of artificial intelligence in the field of biological manufacturing, involving 15 companies and 1 research institute [1] - The focus of this initiative is on the integration of AI in biological manufacturing, particularly in areas such as innovative research and development, pilot scale-up, and production [1] - More than half of the 16 cases listed are related to the design and construction of high-performance protein components, indicating a strong emphasis on this area [1] Summary by Categories AI Applications in Biological Manufacturing - The MIIT's initiative aims to showcase how AI can enhance various stages of biological manufacturing, including high-performance protein design and production processes [1] - Notable companies involved include Beijing Zhaoyan Biological, Beijing Chengyitong, and Shanghai Tianhu Technology, which are recognized for their contributions to the field [1] Key Case Studies - **Beijing Zhaoyan Biological**: Developed an AI-driven platform for constructing stable high-expression cell lines, integrating machine learning and big data [3] - **Shanghai Tianhu Technology**: Created a protein engineering model AIACCLBIO™, which utilizes 9 billion protein data points for end-to-end predictions [4] - **Anhui Yuanguo Biological**: Implemented AI technology for de novo protein design, addressing complex structural challenges [4] - **Baitou Biotechnology**: Utilized AI models to enhance the efficiency of medicinal enzyme modifications for enzyme replacement therapies [4] Industry Trends and Future Directions - The upcoming SynBioCon 2025 conference will focus on AI and biological manufacturing, exploring trends and innovations that could drive the industry forward [7] - The conference aims to facilitate technology transfer and product scaling, highlighting the importance of collaboration among industry leaders, experts, and government entities [7]