《生命科学》 2025, 37(10): 1251-1262

基于专利分析蛋白质结构预测领域发展态势

梁亚茹¹ , 王平洋¹ , 鲁璟哲¹ , 邵旭倩¹ , 王　帆¹ , 姜　鑫¹ , 李怡心¹ , 李丽媛^2,*

¹国家知识产权局专利局医药生物发明审查部，北京 100088 ²首都医科大学附属北京世纪坛医院，北京 100038

摘　要：

随着人工智能技术的不断发展，蛋白质结构预测领域研究取得了重大突破，在药物研发、生物能源、生物材料等众多领域展现出巨大的应用潜力。为了更好地了解全球蛋白质结构预测领域的研究现状，科学推动蛋白质结构预测产业高质量发展，本文基于专利数据，对全球范围内蛋白质结构预测领域的申请态势、区域布局、主要申请人、技术演进、产业发展机遇与挑战等方面进行分析，并重点比较了DeepMind、腾讯等全球主要研究机构的专利布局特点。结果表明，我国蛋白质结构预测领域的专利数量排在世界前列，但核心底层算法、高质量数据和跨学科高端人才与美国相比仍存在差距；新药研发是蛋白质结构预测技术布局应用研发的重点和热点，在合成生物学等其他领域仍有大量空白待填。针对这些问题，提出我国蛋白质结构预测领域的产业发展策略。

通讯作者：李丽媛 , Email:liliyuan89@126.com

Research progress of protein structure prediction based on patent analysis

LIANG Ya-Ru¹ , WANG Ping-Yang¹ , LU Jing-Zhe¹ , SHAO Xu-Qian¹ , WANG Fan¹ , JIANG Xin¹ , LI Yi-Xin¹ , LI Li-Yuan^2,*

¹Department of Pharmaceutical and Biological Invention Examination, Patent Office of the National Intellectual Property Administration of China, Beijing 100088, China ²Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China

Abstract:

With the continuous development of artificial intelligence technology, significant breakthroughs have been made in the research of protein structure prediction, demonstrating great application potential in many fields such as drug development, bioenergy, and biomaterials. In order to better understand the current research status of protein structure prediction globally and scientifically promote the high-quality development of the protein structure prediction industry, this paper, based on patent data, analyzes the application trends, regional distribution, major applicants, technological evolution, and opportunities and challenges in the field of protein structure prediction worldwide. It also focuses on comparing the patent layout characteristics of major global research institutions such as DeepMind and Tencent. The results show that the number of patents in the field of protein structure prediction in China ranks among the top in the world. However, there are still gaps compared with the United States in terms of core underlying algorithms, high-quality data, and interdisciplinary high-end talents. New drug development is the focus and hotspot of the application and R&D layout of protein structure prediction technology, and there are still a large number of gaps to be filled in other fields such as synthetic biology. In light of these findings, this paper proposes industrial development strategies for protein structure prediction in China.

Communication Author：LI Li-Yuan , Email:liliyuan89@126.com