中醫(yī)藥體系龐大而復雜，數(shù)據(jù)庫為大量信息化數(shù)據(jù)的積累應(yīng)用提供有效可靠方法。隨著與網(wǎng)絡(luò)藥理學、多組學及深度學習技術(shù)的整合，傳統(tǒng)中醫(yī)藥的復雜體系和創(chuàng)新性發(fā)展不斷取得突破。系統(tǒng)回顧了中醫(yī)藥生物信息學相關(guān)數(shù)據(jù)庫的發(fā)展歷程，提出了基于功能與應(yīng)用場景的4級分類體系，涵蓋基礎(chǔ)資源、應(yīng)用領(lǐng)域、技術(shù)方法及文化傳承4大維度。通過分析代表性數(shù)據(jù)庫的優(yōu)劣勢發(fā)現(xiàn)，現(xiàn)有數(shù)據(jù)庫在數(shù)據(jù)標準化、更新頻率及臨床驗證方面仍存在顯著不足，并通過結(jié)合人工智能與多組學技術(shù)的融合趨勢，展望了中醫(yī)藥生物信息學數(shù)據(jù)庫在精準醫(yī)療與國際化發(fā)展中的潛力。

The multifaceted and intricate system of traditional Chinese medicine (TCM) necessitates robust methodologies for managing its extensive knowledge base. Databases have emerged as an effective and reliable method for the systematic aggregation and utilization of large-scale informational datasets. With the integration of network pharmacology, multi-omics, and deep learning technologies, continuous progress has been made in unraveling TCM’s intricate mechanisms and fostering innovative development. This study conducts a comprehensive review of the evolutionary trajectory of TCM bioinformatics databases and introduces a functionally stratified classification system encompassing four dimensions: foundational resources, application domains, technical methodologies, and cultural preservation. Comparative assessment of representative databases reveals significant limitations in data standardization, update sustainability, and clinical validation. Finally, by highlighting the convergence of artificial intelligence (AI) and multi-omics technologies, we envision the transformative potential of TCM bioinformatics databases to advance precision medicine and promote global integration.

TP18;R285

天津市科技局計劃項目（24ZYJDSY00280）；國家自然科學基金青年項目（82304909）