未来智造局｜上海发力科研“新基建”：让AI读懂生命代码，跑出药物研发加速度

Core Insights - The article discusses the integration of artificial intelligence (AI) in drug development, particularly focusing on siRNA (small interfering RNA) technology, which has shown significant potential in silencing disease-causing genes. AI models, such as the "Nüwa RNA model," are enhancing the efficiency of siRNA drug screening processes, moving from traditional trial-and-error methods to more precise selection techniques [1][2]. Group 1: AI and Drug Development - The application of AI models has improved in vitro screening efficiency by approximately 1.6 times compared to traditional methods [1]. - The Nüwa RNA model, developed by the Shanghai Institute of Intelligent Science in collaboration with Fudan University, aims to create a living scientific intelligence infrastructure that can be continuously evolved and utilized by scientists [2][3]. - The model integrates over 1 billion RNA sequences, structures, functions, and chemical modifications, achieving leading performance in RNA structure prediction and reverse folding tasks [2]. Group 2: Research and Development Process - The Nüwa RNA model allows for the rapid selection of around 200 high-potential candidates from thousands of sequences within hours, significantly enhancing the drug development process [3]. - The model has already validated siRNA design processes for over five targets, with preliminary experiments conducted for chronic diseases such as hyperlipidemia and hypertension [3][4]. - A closed-loop system has been established, where experimental data is continuously fed back into the AI model, facilitating iterative improvements in drug design [4]. Group 3: Star River Intelligence Platform - The "Star River Intelligence" platform consolidates over 400 scientific models and tools, aiming to lower research barriers and streamline the entire research process [5][6]. - The platform has built a repository of 40,000 high-value scientific datasets and covers nearly 500 million scientific papers, enabling intelligent search and report generation [6]. - The platform is designed to integrate various data, models, and methods into a unified research environment, enhancing the systematic advancement of scientific inquiries [6][7]. Group 4: Collaborative Research and Innovation - The platform promotes cross-disciplinary collaboration, allowing scientists from different backgrounds to work alongside AI algorithm experts, fostering innovation in life sciences [7]. - Successful outcomes from the platform include high-level research results, such as the "Sui Ren Catalytic Reaction Model," which have been published in top journals [7]. - The platform has seen significant engagement, with approximately 23,000 daily visits and active use among over 7,600 students and faculty from Fudan University and its affiliated hospitals [7].