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.