Nucleic Acids Research · 2012 · 629 citations · 14 references
MedicineBioinformaticsPharmacologyDrug DiscoveryMolecular PharmacologyPharmacoinformaticsDrug DatabasesDrug Information ResourcesNetwork MedicineCompound - Target Interaction DatabasesCompound-disease Network ConstructionCompound-protein-disease Network AnalysisDrug Data IntegrationDrug Knowledge BasesHerbal Drug DatabasesMedicinal HerbsTraditional Chinese Medicine
Traditional Chinese Medicine is gaining global attention and modernization efforts aim to bridge it with Western medicine by linking herb compounds to their protein targets. The authors built the Traditional Chinese Medicine Integrated Database (TCMID) to compile TCM information from multiple sources via text mining. TCMID links its data to major drug and disease repositories such as DrugBank, OMIM, and PubChem, and offers a web interface that visualizes networks of herbs, diseases, active ingredients, and targets. TCMID currently holds about 47,000 prescriptions, 8,159 herbs, 25,210 compounds, 6,828 drugs, 3,791 diseases, and 17,521 targets, making it the largest dataset in the field and enabling integrative studies of combination therapy and molecular mechanisms.
As an alternative to modern western medicine, Traditional Chinese Medicine (TCM) is receiving increasingly attention worldwide. Great efforts have been paid to TCM's modernization, which tries to bridge the gap between TCM and modern western medicine. As TCM and modern western medicine share a common aspect at molecular level that the compound(s) perturb human's dysfunction network and restore human normal physiological condition, the relationship between compounds (in herb, refer to ingredients) and their targets (proteins) should be the key factor to connect TCM and modern medicine. Accordingly, we construct this Traditional Chinese Medicine Integrated Database (TCMID, http://www.megabionet.org/tcmid/), which records TCM-related information collected from different resources and through text-mining method. To enlarge the scope of the TCMID, the data have been linked to common drug and disease databases, including Drugbank, OMIM and PubChem. Currently, our TCMID contains ∼47 000 prescriptions, 8159 herbs, 25 210 compounds, 6828 drugs, 3791 diseases and 17 521 related targets, which is the largest data set for related field. Our web-based software displays a network for integrative relationships between herbs and their treated diseases, the active ingredients and their targets, which will facilitate the study of combination therapy and understanding of the underlying mechanisms for TCM at molecular level.
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