TCMSP: a database of systems pharmacology for drug discovery from herbal medicines

BackgroundModern medicine often clashes with traditional medicine such as Chinese herbal medicine because of the little understanding of the underlying mechanisms of action of the herbs. In an effort to promote integration of both sides and to accelerate the drug discovery from herbal medicines, an efficient systems pharmacology platform that represents ideal information convergence of pharmacochemistry, ADME properties, drug-likeness, drug targets, associated diseases and interaction networks, are urgently needed.DescriptionThe traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) was built based on the framework of systems pharmacology for herbal medicines. It consists of all the 499 Chinese herbs registered in the Chinese pharmacopoeia with 29,384 ingredients, 3,311 targets and 837 associated diseases. Twelve important ADME-related properties like human oral bioavailability, half-life, drug-likeness, Caco-2 permeability, blood-brain barrier and Lipinski’s rule of five are provided for drug screening and evaluation. TCMSP also provides drug targets and diseases of each active compound, which can automatically establish the compound-target and target-disease networks that let users view and analyze the drug action mechanisms. It is designed to fuel the development of herbal medicines and to promote integration of modern medicine and traditional medicine for drug discovery and development.ConclusionsThe particular strengths of TCMSP are the composition of the large number of herbal entries, and the ability to identify drug-target networks and drug-disease networks, which will help revealing the mechanisms of action of Chinese herbs, uncovering the nature of TCM theory and developing new herb-oriented drugs. TCMSP is freely available at http://sm.nwsuaf.edu.cn/lsp/tcmsp.php.

[1]  Mingliang Ye,et al.  Biological fingerprinting analysis of traditional Chinese medicines with targeting ADME/Tox property for screening of bioactive compounds by chromatographic and MS methods. , 2007, Mini reviews in medicinal chemistry.

[2]  Robert C. Glen,et al.  Winnow based identification of potent hERG inhibitors in silico: comparative assessment on different datasets , 2012, Journal of Cheminformatics.

[3]  Jinan Wang,et al.  Systems approaches and polypharmacology for drug discovery from herbal medicines: an example using licorice. , 2013, Journal of ethnopharmacology.

[4]  Wei Zhou,et al.  Systems pharmacology strategies for drug discovery and combination with applications to cardiovascular diseases. , 2014, Journal of ethnopharmacology.

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

[6]  F. Lombardo,et al.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. , 2001, Advanced drug delivery reviews.

[7]  Gary D. Bader,et al.  Cytoscape Web: an interactive web-based network browser , 2010, Bioinform..

[8]  Xia Wang,et al.  Insight into the binding mode and the structural features of the pyrimidine derivatives as human A2A adenosine receptor antagonists , 2014, Biosyst..

[9]  Chao Huang,et al.  Systems pharmacology in drug discovery and therapeutic insight for herbal medicines , 2014, Briefings Bioinform..

[10]  Hua Yu,et al.  A Systematic Prediction of Multiple Drug-Target Interactions from Chemical, Genomic, and Pharmacological Data , 2012, PloS one.

[11]  Fidel Ramírez,et al.  Computing topological parameters of biological networks , 2008, Bioinform..

[12]  Hua Yu,et al.  A Novel Chemometric Method for the Prediction of Human Oral Bioavailability , 2012, International journal of molecular sciences.

[13]  Xue Xu,et al.  Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease. , 2013, Journal of ethnopharmacology.

[14]  Bo Zhang,et al.  Network target for screening synergistic drug combinations with application to traditional Chinese medicine , 2011, BMC Systems Biology.

[15]  Stuart L. Schreiber,et al.  Dissecting glucose signalling with diversity-oriented synthesis and small-molecule microarrays , 2002, Nature.

[16]  Xue Xu,et al.  A Systems Biology Approach to Uncovering Pharmacological Synergy in Herbal Medicines with Applications to Cardiovascular Disease , 2012, Evidence-based complementary and alternative medicine : eCAM.

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

[18]  S. Bryant,et al.  PubChem as a public resource for drug discovery. , 2010, Drug discovery today.

[19]  Qian Li,et al.  Drug-likeness analysis of traditional Chinese medicines: 1. property distributions of drug-like compounds, non-drug-like compounds and natural compounds from traditional Chinese medicines , 2012, Journal of Cheminformatics.

[20]  Yung-Hsien Chang,et al.  Efficacy and Safety of a Chinese Herbal Medicine Formula (RCM-104) in the Management of Simple Obesity: A Randomized, Placebo-Controlled Clinical Trial , 2012, Evidence-based complementary and alternative medicine : eCAM.

[21]  John P. Overington,et al.  ChEMBL: a large-scale bioactivity database for drug discovery , 2011, Nucleic Acids Res..

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

[23]  C. Xue,et al.  Ear Acupressure for Smoking Cessation: A Randomised Controlled Trial , 2013, Evidence-based complementary and alternative medicine : eCAM.

[24]  Thomas M. Ehrman,et al.  Phytochemical Databases of Chinese Herbal Constituents and Bioactive Plant Compounds with Known Target Specificities. , 2007 .

[25]  Yonghua Wang,et al.  A Systems-Pharmacology Analysis of Herbal Medicines Used in Health Improvement Treatment: Predicting Potential New Drugs and Targets , 2013, Evidence-based complementary and alternative medicine : eCAM.

[26]  H. van de Waterbeemd,et al.  ADMET in silico modelling: towards prediction paradise? , 2003, Nature reviews. Drug discovery.

[27]  Yonghua Wang,et al.  Systems pharmacology uncovers Janus functions of botanical drugs: activation of host defense system and inhibition of influenza virus replication , 2012, Integrative biology : quantitative biosciences from nano to macro.

[28]  Yonghua Wang,et al.  Deciphering the combination principles of Traditional Chinese Medicine from a systems pharmacology perspective based on Ma-huang Decoction. , 2013, Journal of ethnopharmacology.

[29]  Xiaojie Xu,et al.  CVDHD: a cardiovascular disease herbal database for drug discovery and network pharmacology , 2013, Journal of Cheminformatics.

[30]  F. Lombardo,et al.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings , 1997 .

[31]  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.

[32]  Shao Li,et al.  Bridging the gap between traditional Chinese medicine and systems biology: the connection of Cold Syndrome and NEI network. , 2010, Molecular bioSystems.

[33]  Chris Morley,et al.  Open Babel: An open chemical toolbox , 2011, J. Cheminformatics.

[34]  P. Shannon,et al.  Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[35]  Yang Song,et al.  Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery , 2011, Nucleic Acids Res..

[36]  Antony J. Williams,et al.  ChemSpider:: An Online Chemical Information Resource , 2010 .

[37]  Calvin Yu-Chian Chen,et al.  TCM Database@Taiwan: The World's Largest Traditional Chinese Medicine Database for Drug Screening In Silico , 2011, PloS one.

[38]  Yan Li,et al.  Investigation into the mechanism of Eucommia ulmoides Oliv. based on a systems pharmacology approach. , 2014, Journal of ethnopharmacology.

[39]  David S. Wishart,et al.  DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs , 2010, Nucleic Acids Res..

[40]  Xue Xu,et al.  A System-Level Investigation into the Mechanisms of Chinese Traditional Medicine: Compound Danshen Formula for Cardiovascular Disease Treatment , 2012, PloS one.