» Articles » PMID: 21253603

TCM Database@Taiwan: the World's Largest Traditional Chinese Medicine Database for Drug Screening in Silico

Overview
Journal PLoS One
Date 2011 Jan 22
PMID 21253603
Citations 358
Authors
Affiliations
Soon will be listed here.
Abstract

Rapid advancing computational technologies have greatly speeded up the development of computer-aided drug design (CADD). Recently, pharmaceutical companies have increasingly shifted their attentions toward traditional Chinese medicine (TCM) for novel lead compounds. Despite the growing number of studies on TCM, there is no free 3D small molecular structure database of TCM available for virtual screening or molecular simulation. To address this shortcoming, we have constructed TCM Database@Taiwan (http://tcm.cmu.edu.tw/) based on information collected from Chinese medical texts and scientific publications. TCM Database@Taiwan is currently the world's largest non-commercial TCM database. This web-based database contains more than 20,000 pure compounds isolated from 453 TCM ingredients. Both cdx (2D) and Tripos mol2 (3D) formats of each pure compound in the database are available for download and virtual screening. The TCM database includes both simple and advanced web-based query options that can specify search clauses, such as molecular properties, substructures, TCM ingredients, and TCM classification, based on intended drug actions. The TCM database can be easily accessed by all researchers conducting CADD. Over the last eight years, numerous volunteers have devoted their time to analyze TCM ingredients from Chinese medical texts as well as to construct structure files for each isolated compound. We believe that TCM Database@Taiwan will be a milestone on the path towards modernizing traditional Chinese medicine.

Citing Articles

Revealing the antimicrobial potential of traditional Chinese medicine through text mining and molecular computation.

Chung M, Su L, Chen C, Wu L Brief Bioinform. 2025; 26(1).

PMID: 40007160 PMC: 11859959. DOI: 10.1093/bib/bbaf077.


Network pharmacology: a crucial approach in traditional Chinese medicine research.

Zhai Y, Liu L, Zhang F, Chen X, Wang H, Zhou J Chin Med. 2025; 20(1):8.

PMID: 39800680 PMC: 11725223. DOI: 10.1186/s13020-024-01056-z.


PbsNRs: predict the potential binders and scaffolds for nuclear receptors.

Zheng G, Wu D, Wei X, Xu D, Mao T, Yan D Brief Bioinform. 2025; 26(1.

PMID: 39798999 PMC: 11724720. DOI: 10.1093/bib/bbae710.


Targeting mTOR Kinase with Natural Compounds: Potent ATP-Competitive Inhibition Through Enhanced Binding Mechanisms.

Marafie S, Alshawaf E, Al-Mulla F, Abubaker J, Mohammad A Pharmaceuticals (Basel). 2025; 17(12.

PMID: 39770519 PMC: 11677242. DOI: 10.3390/ph17121677.


Study on the mechanism of Shenmai injection in the treatment of sepsis.

Yang M, Chen T, Xu Y, Liu Q, Xu X J Cell Mol Med. 2024; 28(22):e70201.

PMID: 39584444 PMC: 11586680. DOI: 10.1111/jcmm.70201.


References
1.
Qiao X, Hou T, Zhang W, Guo S, Xu X . A 3D structure database of components from Chinese traditional medicinal herbs. J Chem Inf Comput Sci. 2002; 42(3):481-9. DOI: 10.1021/ci010113h. View

2.
He M, Yan X, Zhou J, Xie G . Traditional Chinese medicine database and application on the Web. J Chem Inf Comput Sci. 2001; 41(2):273-7. DOI: 10.1021/ci0003101. View

3.
Chen C, Chen C . Insights into designing the dual-targeted HER2/HSP90 inhibitors. J Mol Graph Model. 2010; 29(1):21-31. DOI: 10.1016/j.jmgm.2010.04.002. View

4.
Sayers E, Barrett T, Benson D, Bolton E, Bryant S, Canese K . Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2009; 38(Database issue):D5-16. PMC: 2808881. DOI: 10.1093/nar/gkp967. View

5.
Chen X, Zhou H, Liu Y, Wang J, Li H, Ung C . Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation. Br J Pharmacol. 2006; 149(8):1092-103. PMC: 2014641. DOI: 10.1038/sj.bjp.0706945. View