Jiang Huimin, Hu Cheng, Chen Meijuan
School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Front Pharmacol. 2021 Mar 11;12:474267. doi: 10.3389/fphar.2021.474267. eCollection 2021.
Amid the establishment and optimization of Connectivity Map (CMAP), the functional relationships among drugs, genes, and diseases are further explored. This biological database has been widely used to identify drugs with common mechanisms, repurpose existing drugs, discover the molecular mechanisms of unknown drugs, and find potential drugs for some diseases. Research on traditional Chinese medicine (TCM) has entered a new era in the wake of the development of bioinformatics and other subjects including network pharmacology, proteomics, metabolomics, herbgenomics, and so on. TCM gradually conforms to modern science, but there is still a torrent of limitations. In recent years, CMAP has shown its distinct advantages in the study of the components of TCM and the synergetic mechanism of TCM formulas; hence, the combination of them is inevitable.
在连通性图谱（CMAP）的建立和优化过程中，药物、基因和疾病之间的功能关系得到了进一步探索。这个生物数据库已被广泛用于识别具有共同机制的药物、重新利用现有药物、发现未知药物的分子机制以及寻找针对某些疾病的潜在药物。随着生物信息学以及包括网络药理学、蛋白质组学、代谢组学、草药基因组学等在内的其他学科的发展，中医药研究进入了一个新时代。中医药逐渐与现代科学接轨，但仍存在诸多局限性。近年来，CMAP在中药成分研究和中药方剂协同机制研究中显示出独特优势；因此，二者的结合是必然的。
