中医药是中华民族几千年实践经验的总结，在重大慢性疾病、新发突发传染病等方面表现出巨大潜力和良好的治疗效果，中药是先导化合物发现的巨大宝库，其数据库种类繁多，如中药化学数据库、 中药系统药理学数据库与分析平台、TCMBank 数据库等。随着人工智能技术的飞速发展，已进入大数据时代，人工智能与中医药深度融合推动了中药数据库的发展。中药信息标准化、 数据分析智能化是中医药现代化发展的必由之路，开辟了中医药科技创新赛道，是推动中医药产业高质量发展的强大引擎。通过对中药数据库的研究进展进行综述，并对数据库的应用进行展望，为推动中药数据库在人工智能支持下的创新升级提供参考，助力中药产业的现代化发展。

Traditional Chinese medicine (TCM) represents a synthesis of millennia of practical experience of the Chinese nation, showing great potential in the treatment of major chronic diseases and emerging infectious diseases. TCM serves as a vast treasure trove for the discovery of potential lead compounds, with a wide variety of databases, such as Traditional Chinese Medicines Database (TCMD), Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), TCMBank database, and so on. With the rapid development of artificial intelligence (AI) technology, we have entered the big data era. The deep integration of AI with TCM has facilitated development of TCM databases. The standardization of TCM information and intelligent data analysis are critical approaches for the modernization of TCM, opening new avenues for technological innovation in TCM and serving as a powerful engine for highquality development of TCM industry. This review discusses the progress in the research on TCM databases and their prospective applications. It aims to provide a reference for innovative upgrade of TCM databases supported by AI and ultimately facilitating the modernization and development of TCM industry.

R28

国家自然科学基金资助项目(82104372);现代中医药海河实验室科技项目(22HHZYJC00007,22HHZYSS00007)