AIDD-人工智能药物设计-TCMP-12个公开的中药数据库
12个公开的中药数据库
数据库是中药网络药理学研究不可或缺的数据来源之一。目前已经建立了若干中药数据库，提供有关中药的各方面信息，包括疾病、方剂、草药或天然产物、生物活性成分和靶点。这些数据库成为中医药与现代生物医学之间的桥梁，在中药药理学研究中发挥了重要作用。这里列出12个公开的中药数据库。
点击以下数据库名称可以学习使用方法：
HIT 2.0
SymMap
TCMSID
LTM-TCM
ETCM
参考文献：
- Ru J, Li P, Wang J, Zhou W, Li B, Huang C, Li P, Guo Z, Tao W, Yang Y et al:TCMSP: a database of systems pharmacology for drug discovery from herbal medicines. Journal of cheminformatics 2014, 6:13.
- Huang L, Xie D, Yu Y, Liu H, Shi Y, Shi T, Wen C: TCMID 2.0: a comprehensive resource for TCM. Nucleic Acids Res 2018, 46(D1):D1117-d1120.
- Ji ZL, Zhou H, Wang JF, Han LY, Zheng CJ, Chen YZ: Traditional Chinese medicine information database. Journal of ethnopharmacology 2006, 103(3):501.
- Fang S, Dong L, Liu L, Guo J, Zhao L, Zhang J, Bu D, Liu X, Huo P, Cao W et al: HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine. Nucleic Acids Res 2021,49(D1):D1197-d1206.
- Yan D, Zheng G, Wang C, Chen Z, Mao T, Gao J, Yan Y, Chen X, Ji X, Yu J et al: HIT 2.0: an enhanced platform for Herbal Ingredients’ Targets. Nucleic Acids Res 2022, 50(D1):D1238-d1243.
- Chen Q, Springer L, Gohlke BO, Goede A, Dunkel M, Abel R, Gallo K, Preissner S, Eckert A, Seshadri L et al: SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development. Biomedicine & Pharmacotherapy 2021, 144:112315.
- Wu Y, Zhang F, Yang K, Fang S, Bu D, Li H, Sun L, Hu H, Gao K, Wang W et al: SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping. Nucleic Acids Res 2019, 47(D1):D1110-d1117.
- Zhang LX, Dong J, Wei H, Shi SH, Lu AP, Deng GM, Cao DS: TCMSID: a simplified integrated database for drug discovery from traditional chinese medicine. Journal of cheminformatics 2022,14(1):89.
- Li X, Ren J, Zhang W, Zhang Z, Yu J, Wu J, Sun H, Zhou S, Yan K, Yan X et al: LTM-TCM: A comprehensive database for the linking of Traditional Chinese Medicine with modern medicine at molecular and phenotypic levels. Pharmacol Res 2022, 178:106185.
- Tian S, Zhang J, Yuan S, Wang Q, Lv C, Wang J, Fang J, Fu L, Yang J, Zu X et al: Exploring pharmacological active ingredients of traditional Chinese medicine by pharmacotranscriptomic map in ITCM. Briefings in bioinformatics 2023, 24(2).
- Zhang Y, Li X, Shi Y, Chen T, Xu Z, Wang P, Yu M, Chen W, Li B, Jing Z et al: ETCM v2.0: An update with comprehensive resource and rich annotations for traditional Chinese medicine. Acta Pharm Sin B 2023, 13(6):2559-2571.
- Lv Q, Chen G, He H, Yang Z, Zhao L, Zhang K, Chen CY: TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction. Signal transduction and targeted therapy 2023, 8(1):127.