Home Journals Articles Updates About
CN
image
收藏切换
Application of artificial intelligence in synthetic biology from the patent perspective
收藏切换
PDF
Qiangyu XIANG1, Lili MA2, Wanying GAO1, Zongzhen WU1, Kunlan ZUO1, Lu ZHANG1, Zexin CHEN3, Jun LI3, Huan LIU1, *
Acta Microbiologica Sinica | 2025, 65(2) : 828 - 845
Less
收藏切换
Acta Microbiologica Sinica | 2025, 65(2): 828-845
• Special Section •
Application of artificial intelligence in synthetic biology from the patent perspective
Full
Qiangyu XIANG1, Lili MA2, Wanying GAO1, Zongzhen WU1, Kunlan ZUO1, Lu ZHANG1, Zexin CHEN3, Jun LI3, Huan LIU1, *
Affiliations
  • 1 University of Science and Technology of China, Hefei, Anhui, China
  • 2 National Science Library (Wuhan), Chinese Academy of Sciences, Wuhan, Hubei, China
  • 3 Intellectual Property Development and Research Center, China National Intellectual Property Administration, Beijing, China
Published: 2025-02-04 doi: 10.13343/j.cnki.wsxb.20240572
Outline
收藏切换

[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.

synthetic biology  /  artificial intelligence  /  patent analysis  /  technical situation  /  science and technology information
Qiangyu XIANG, Lili MA, Wanying GAO, Zongzhen WU, Kunlan ZUO, Lu ZHANG, Zexin CHEN, Jun LI, Huan LIU. Application of artificial intelligence in synthetic biology from the patent perspective[J]. Acta Microbiologica Sinica, 2025 , 65 (2) : 828 -845 . DOI: 10.13343/j.cnki.wsxb.20240572
Funding
Less
  • Synthetic Biology National Key Research and Development Program(2024YFA0917200)
  • Construction Project of High-quality Data Pool and Data Product Service System of Chinese Academy of Sciences(2019WQZX012)
  • China National Intellectual Property Administration Synthetic Biology Program(FX202309)
Appendix
Less
Year 2025 volume 65 Issue 2
PDF
133
46
Cite this Article
BibTeX
Article Info
doi: 10.13343/j.cnki.wsxb.20240572
  • Receive Date：2024-09-17
  • Online Date：2026-02-05
  • Published：2025-02-04
Article Data
Affiliations
History
  • Received：2024-09-17
  • Accepted：2024-11-25
Funding
Synthetic Biology National Key Research and Development Program(2024YFA0917200)
Construction Project of High-quality Data Pool and Data Product Service System of Chinese Academy of Sciences(2019WQZX012)
China National Intellectual Property Administration Synthetic Biology Program(FX202309)
Affiliations
    1 University of Science and Technology of China, Hefei, Anhui, China
    2 National Science Library (Wuhan), Chinese Academy of Sciences, Wuhan, Hubei, China
    3 Intellectual Property Development and Research Center, China National Intellectual Property Administration, Beijing, China

Corresponding:

References
Share
https://castjournals.cast.org.cn/joweb/wswxb/EN/10.13343/j.cnki.wsxb.20240572
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House