把AI当“研发搭子”，未来产业蕴含广阔前景

Core Insights - The article emphasizes the transformative role of artificial intelligence (AI) in scientific research, particularly in protein design and biomanufacturing, highlighting its potential to accelerate innovation and reduce costs [1][2]. Group 1: AI in Protein Design - Tianmu Technology has developed a protein design model that has processed over 10 billion protein data points and delivered more than 30 industrial projects, showcasing the efficiency of AI in generating optimal solutions for new projects [1]. - AI4S (AI for Science) is changing the traditional research paradigm by addressing the lengthy and costly processes associated with protein design, enabling the development of products that can withstand extreme industrial conditions [1][2]. - The ability of large models to extract features from vast datasets allows researchers to understand the structural characteristics of proteins that enable microorganisms to survive in extreme environments, thus enhancing biopharmaceutical and bio-agricultural research [2]. Group 2: Future Industry Trends - The Ministry of Industry and Information Technology plans to promote AI applications in biomanufacturing, with Tianmu Technology being one of the highlighted companies, indicating a broader trend towards upgrading the entire biomanufacturing industry chain [2]. - The "14th Five-Year Plan" suggests a forward-looking approach to future industries, exploring diverse technological routes and typical application scenarios, which includes fields like quantum technology, biomanufacturing, and brain-computer interfaces as new economic growth points [2]. - The emergence of intelligent research systems, such as the "Meta-Life" system led by the Lingang Laboratory, aims to revolutionize drug discovery by significantly shortening the target discovery cycle, demonstrating the potential of AI to transform the pharmaceutical industry [3]. Group 3: Systematic Development of Scientific Intelligence - The integration of AI into scientific research is not just about speeding up calculations but also about fundamentally transforming research paradigms and accelerating scientific discoveries [3]. - Industry experts believe that scientific intelligence is becoming a key engine for changing research paradigms, empowering industry development, and influencing economic structures globally [3]. - There is a call for deeper exploration in developing new theoretical frameworks and pathways to enhance the systematic advancement of scientific intelligence [3].