Xiao Wenke, Zhang Mengqing, Zhao Danni, Meng Fanbo, Tang Qiang, Hu Lianjiang, Chen Hongguo, Xu Yixi, Tian Qianqian, Li Mingrui, Zhang Guiyang, Leng Liang, Chen Shilin, Song Chi, Chen Wei
State Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
J Pharm Anal. 2025 Jun;15(6):101297. doi: 10.1016/j.jpha.2025.101297. Epub 2025 Apr 10.
Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.
中医是古老知识的宝库,在医学领域占据着至关重要的地位。然而,由于中医资源分布分散,与数据标准化、完整性和准确性相关的挑战阻碍了对中医广泛信息的探索。为了解决这些问题,我们开发了一个中医知识发现平台(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/)。在TCMKD中,对包括证候、方剂、中成药、中药材、成分、靶点和疾病在内的七种数据类型进行了人工校对和整合。为了加强中医与现代医学的融合,TCMKD采用了中医数据挖掘、富集分析以及网络定位与分离等分析方法。这些工具有助于阐明中医与当代科学见解在分子层面的共性。除了其分析能力外,TCMKD还嵌入了一个快速问答(Q&A)系统,以高效查询数据库,从而提高平台的交互性。该平台还提供了一个中医文本注释工具,为中医文本挖掘提供了一种简单高效的方法。总体而言,TCMKD不仅有潜力成为中医的关键知识库,深入探究中医治疗的药理学基础,而且其灵活的嵌入式工具和算法还可应用于其他传统医学系统的研究,而不仅仅局限于中医。