ETCM: an encyclopaedia of traditional Chinese medicine

Abstract Traditional Chinese medicine (TCM) is not only an effective solution for primary health care, but also a great resource for drug innovation and discovery. To meet the increasing needs for TCM-related data resources, we developed ETCM, an Encyclopedia of Traditional Chinese Medicine. ETCM includes comprehensive and standardized information for the commonly used herbs and formulas of TCM, as well as their ingredients. The herb basic property and quality control standard, formula composition, ingredient drug-likeness, as well as many other information provided by ETCM can serve as a convenient resource for users to obtain thorough information about a herb or a formula. To facilitate functional and mechanistic studies of TCM, ETCM provides predicted target genes of TCM ingredients, herbs, and formulas, according to the chemical fingerprint similarity between TCM ingredients and known drugs. A systematic analysis function is also developed in ETCM, which allows users to explore the relationships or build networks among TCM herbs, formulas,ingredients, gene targets, and related pathways or diseases. ETCM is freely accessible at http://www.nrc.ac.cn:9090/ETCM/. We expect ETCM to develop into a major data warehouse for TCM and to promote TCM related researches and drug development in the future.

[1]  N. Sucher The application of Chinese medicine to novel drug discovery , 2013, Expert opinion on drug discovery.

[2]  Qi Kang,et al.  Comparison of Ligand-, Target Structure-, and Protein-Ligand Interaction Fingerprint-based Virtual Screening Methods , 2011 .

[3]  Yan Shi,et al.  TCMID 2.0: a comprehensive resource for TCM , 2017, Nucleic Acids Res..

[4]  Zhao Fang,et al.  TCMID: traditional Chinese medicine integrative database for herb molecular mechanism analysis , 2012, Nucleic Acids Res..

[5]  Hsin-Hsi Chen,et al.  TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining , 2008, BMC complementary and alternative medicine.

[6]  F. Cheung TCM: Made in China , 2011, Nature.

[7]  Susan E. Abbatiello,et al.  Erratum: Synergistic drug combinations tend to improve therapeutically relevant selectivity , 2009, Nature Biotechnology.

[8]  Alan Bensoussan,et al.  Synergistic Effects of Chinese Herbal Medicine: A Comprehensive Review of Methodology and Current Research , 2016, Front. Pharmacol..

[9]  Wei Zhou,et al.  TCMSP: a database of systems pharmacology for drug discovery from herbal medicines , 2014, Journal of Cheminformatics.

[10]  Hao Ye,et al.  HIT: linking herbal active ingredients to targets , 2010, Nucleic Acids Res..

[11]  Juancarlos Chan,et al.  Gene Ontology Consortium: going forward , 2014, Nucleic Acids Res..

[12]  Fabrizio Giordanetto,et al.  Oral druggable space beyond the rule of 5: insights from drugs and clinical candidates. , 2014, Chemistry & biology.

[13]  Xin-Zhuan Su,et al.  The discovery of artemisinin and the Nobel Prize in Physiology or Medicine , 2015, Science China Life Sciences.

[14]  Jens Meiler,et al.  Consensus queries in ligand-based virtual screening experiments , 2017, Journal of Cheminformatics.

[15]  Jiumao Lin,et al.  Anticancer Properties of Traditional Chinese Medicine. , 2017, Combinatorial chemistry & high throughput screening.

[16]  Kang Ning,et al.  TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations , 2017, Scientific Reports.

[17]  Zhigang Tian,et al.  Traditional Chinese Medicine and Immune Regulation , 2013, Clinical Reviews in Allergy & Immunology.

[18]  Hiroyuki Ogata,et al.  KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..

[19]  Bradley C Doak,et al.  How Beyond Rule of 5 Drugs and Clinical Candidates Bind to Their Targets. , 2016, Journal of medicinal chemistry.

[20]  Jun Liu,et al.  Diverse array-designed modes of combination therapies in Fangjiomics , 2015, Acta Pharmacologica Sinica.

[21]  Y. Z. Chen,et al.  Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation , 2006, British journal of pharmacology.

[22]  G. V. Paolini,et al.  Quantifying the chemical beauty of drugs. , 2012, Nature chemistry.

[23]  David S. Wishart,et al.  DrugBank 5.0: a major update to the DrugBank database for 2018 , 2017, Nucleic Acids Res..