| 相强宇,吴宗震,张璐,刘欢.化学通报,2025,88(12):1345-1354. |
| 诺奖视角下蛋白质设计与结构预测技术专利态势分析 |
| Patent situation analysis of protein design and structure prediction technology from the perspective of Nobel Prize |
| 投稿时间：2025-06-12 修订日期：2025-06-28 |
| DOI： |
| 中文关键词: 诺贝尔化学奖，计算蛋白质设计，蛋白质结构预测，专利分析，技术创新 |
| 英文关键词:Nobel Prize in Chemistry, Computational protein design, protein structure prediction, patent analysis, technological innovation |
| 基金项目:合成生物学国家重点研发计划项目(2024YFA0917200)、国家知识产权局合成生物学关键核心技术专利分析研究项目(FX202309)和世界医学史项目(2024YCHX07)资助 |
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| 中文摘要: |
| 2024年诺贝尔化学奖授予大卫.贝克(David Baker)、德米斯.哈萨比斯(Demis Hassabis)和约翰.M.江珀(John M. Jumper),以表彰他们在计算蛋白质设计与结构预测领域的开创性贡献。计算蛋白质设计为功能性酶、新型药物和生物材料开发提供了全新路径,而结构预测技术,尤其是AlphaFold的突破性进展,使蛋白质三维结构解析效率大幅提升,为生命科学和生物医药领域带来了深远影响。本文以专利计量方法为基础,系统分析了蛋白质设计与结构预测技术的专利申请趋势、来源国分布、技术聚焦点及创新合作网络。研究发现,蛋白质结构预测相关专利近年来增长迅速,特别是在人工智能驱动下形成了以欧美和中国为核心的技术竞争格局；计算蛋白质设计领域则呈现阶段性发展特征,创新活动更集中于特定应用方向。此外,专利数据揭示了不同机构在该领域知识产权布局中的战略选择及其对技术壁垒形成的贡献。本文的研究不仅为2024年诺贝尔化学奖相关技术的产业化路径提供了量化分析,也为探索生物技术领域的创新动力与全球技术竞争格局提供了理论支持。 |
| 英文摘要: |
| The 2024 Nobel Prize in Chemistry has been awarded to David Baker, Demis Hassabis and John M. Jumper for their pioneering contributions to the field of computational protein design and structure prediction. Computational protein design provides a new path for the development of functional enzymes, new drugs and biomaterials, and structure prediction technology, especially the breakthrough of AlphaFold, has greatly improved the efficiency of three-dimensional protein structure analysis, and has brought profound impact on the life sciences and biomedicine fields. Based on the patent measurement method, this paper systematically analyzes the patent application trend, origin country distribution, technology focus and innovation cooperation network of protein design and structure prediction technology. It is found that patents related to protein structure prediction have increased rapidly in recent years, especially under the drive of artificial intelligence, which has formed a technological competition pattern with Europe, America and China as the core; The field of computational protein design is characterized by phased development, and innovation activities are more focused on specific application directions. In addition, patent data reveal the strategic choices of different institutions in the layout of intellectual property in this field and their contributions to the formation of technical barriers. The research in this paper not only provides quantitative analysis for the industrialization path of the 2024 Nobel Prize in Chemistry related technologies, but also provides theoretical support for exploring the innovation impetus in the field of biotechnology and the global technological competition pattern. |
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