基于专利视角下人工智能在合成生物学中的应用

Application of artificial intelligence in synthetic biology from the patent perspective

摘要:

目的 通过专利分析挖掘人工智能在合成生物学中的应用趋势与分布特征，为该领域的技术创新、研发方向以及产业布局提供实践参考和理论支持。方法 本研究概述了合成生物学的研究内容和方法，借助专利网络进行深入挖掘，并结合文献分析的角度，探究人工智能在合成生物学领域的发展态势。结果 检索并分析相关专利数据，揭示了人工智能在合成生物学领域的申请和公开趋势，以及主要国家和申请人的分布情况。进一步地，从专利角度分析了生物合成基因簇、蛋白质结构分析以及转录因子结合位点等3个技术分支的发展情况。此外，本研究还讨论了人工智能在合成生物学应用中面临的挑战，并针对这些挑战提出了一些应对建议。结论 本研究结果有助于深入了解人工智能在合成生物学领域的技术发展脉络，为相关企业和科研机构的研发决策提供参考，强调了人工智能技术在合成生物学领域的重要性，以及其在推动该领域发展中的关键作用。同时，本研究还针对进一步加强人工智能在合成生物学领域的研究和应用，提出了一系列建议，旨在为全球科技竞争态势下的国家科技情报体系建设，特别是合成生物学的发展提供更多创新性的思路和技术支撑。

关键词:合成生物学;人工智能;专利分析;技术态势;科技情报

Abstract:

Objective To analyze the application trends and distribution of artificial intelligence in synthetic biology from the patent perspective, providing practical insights and theoretical support for technological innovation, research and development (R&D) direction, and industrial layout of this field.Methods The paper presents a comprehensive overview of the research contents and methodologies of synthetic biology, and delves into the evolving landscape of artificial intelligence in synthetic biology by extensive patent network mining and literature analysis.Results Through thorough examination of pertinent patent data, this study unveils the application patterns and disclosure trends of artificial intelligence in synthetic biology alongside the major countries involved and key applicants. Furthermore, it analyzes the advancements in biosynthetic gene clusters, protein structure analysis, and transcription factor binding sites from the patent perspective. Additionally, this paper expounds the challenges confronting the integration of artificial intelligence into synthetic biology while offering recommendations to address them.Conclusion The findings presented herein offer valuable insights into understanding the technical developmental context surrounding artificial intelligence in synthetic biology while serving as a reference for relevant enterprises and research institutions when making R&D decisions. Moreover, this paper underscores the pivotal role played by artificial intelligence in advancing development of synthetic biology while emphasizing its significance. Simultaneously, it provides suggestions to further bolster research efforts on integrating artificial intelligence into synthetic biology with an aim to generate innovative ideas and technical support for constructing national science and technology information systems in global science and technology competition scenarios—particularly concerning advances in synthetic biology.

Key words:synthetic biology;artificial intelligence;patent analysis;technical situation;science and technology information