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

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

2014 | Jinlong Ru, Peng Li, Jinan Wang, Wei Zhou, Bohui Li, Chao Huang, Pidong Li, Zihu Guo, Weiyang Tao, Yinfeng Yang, Xue Xu, Yan Li, Yonghua Wang, Ling Yang
The article introduces the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), a comprehensive resource for systems pharmacology in herbal medicine. TCMSP integrates information on 499 Chinese herbs, 29,384 ingredients, 3,311 targets, and 837 associated diseases. It provides 12 key ADME-related properties for drug screening and evaluation, and establishes compound-target and target-disease networks to facilitate the understanding of drug mechanisms and the development of new herbal drugs. TCMSP is freely available online and offers tools for visualization and analysis of TCM results, making it a valuable resource for chemists, biologists, and pharmacologists. The platform's strengths include its large-scale structural data integration, ADME-related property calculations, and network analysis capabilities, which can help uncover the mechanisms of action of Chinese herbs and advance the integration of modern and traditional medicine in drug discovery.The article introduces the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), a comprehensive resource for systems pharmacology in herbal medicine. TCMSP integrates information on 499 Chinese herbs, 29,384 ingredients, 3,311 targets, and 837 associated diseases. It provides 12 key ADME-related properties for drug screening and evaluation, and establishes compound-target and target-disease networks to facilitate the understanding of drug mechanisms and the development of new herbal drugs. TCMSP is freely available online and offers tools for visualization and analysis of TCM results, making it a valuable resource for chemists, biologists, and pharmacologists. The platform's strengths include its large-scale structural data integration, ADME-related property calculations, and network analysis capabilities, which can help uncover the mechanisms of action of Chinese herbs and advance the integration of modern and traditional medicine in drug discovery.
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