AI赋能生物制造的产业化落地：香兰素一年从零起步量产百吨级、辣椒每亩增产近3成

Core Insights - The application of AI in biomanufacturing is transforming the industry by shortening data screening times, enhancing environmental factor matching, and predicting significantly improved efficacy indicators for new materials [1][2] - Emerging companies like Baidu Biotechnology, Zhiyu Bio, and Chuangjian Medical are leading the way in AI-enabled projects across pharmaceuticals, synthetic biology, and cosmetics [1][2] AI Applications in Biomanufacturing - AI is primarily enhancing enzyme screening efficiency, discovering new materials, and optimizing manufacturing processes [2][3] - Approximately 30% of AI applications in biomanufacturing focus on intelligent control of bioreaction processes, while 25% are dedicated to high-performance protein design [2] - Significant improvements have been noted in enzyme screening design, strain construction efficiency, and manufacturing process optimization [2][3] Case Studies and Innovations - Baidu Biotechnology has developed an AI model that efficiently modifies therapeutic enzymes for enzyme replacement therapy, significantly increasing enzyme activity and stability [3][4] - The Tianjin Institute of Industrial Biotechnology has patented methods for custom cellulose enzyme preparations, enhancing enzyme activity and thermal stability [5][6] - Zhiyu Bio's "ZCloud" platform utilizes machine learning to improve enzyme synthesis efficiency, reducing carbon emissions compared to traditional chemical manufacturing [9][10] Agricultural and Environmental Impact - AI applications in agriculture aim to increase crop yields and improve soil health, with predictions indicating a potential 30% contribution to global food production increases by 2050 [11][12] - Deep Song Bio's research has shown that AI can enhance crop growth and yield by optimizing microbial interactions and reducing reliance on chemical fertilizers [11][12] New Product Development - Companies are leveraging AI to discover and develop new ingredients for cosmetics and health products, with a focus on high efficacy and unique stories [14][15] - The use of AI in the design of collagen proteins has led to significant advancements in skin repair and anti-aging products [13][14] Conclusion - AI is reshaping the biomanufacturing landscape by improving efficiency, enhancing product quality, and enabling the discovery of new materials across various industries, including agriculture, pharmaceuticals, and cosmetics [15]