TCMKD: From ancient wisdom to modern insights-A comprehensive platform for traditional Chinese medicine knowledge discovery

化学 药物发现 数据科学 纳米技术 传统医学 计算机科学 生物化学 医学 材料科学
作者
Wenke Xiao,Mengqing Zhang,Danni Zhao,Fanbo Meng,Qiang Tang,Lianjiang Hu,Hongguo Chen,Yixi Xu,Qianqian Tian,Mingrui Li,Guiyang Zhang,Liang Leng,Shilin Chen,Chi Song,Wei Chen
出处
期刊:Journal of Pharmaceutical Analysis [Elsevier BV]
卷期号:15 (6): 101297-101297 被引量:12
标识
DOI:10.1016/j.jpha.2025.101297
摘要

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.
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