医学
系统药理学
传统医学
药品
药物重新定位
药理学
药物发现
中医药
批准的药物
生物信息学
生物
替代医学
病理
作者
Hui Liu,Jinan Wang,Wei Zhou,Yonghua Wang,Ling Yang
标识
DOI:10.1016/j.jep.2013.02.004
摘要
Licorice, one of the oldest and most popular herbal medicines in the world, has been widely used in traditional Chinese medicine as a cough reliever, anti-inflammatory, anti-anabrosis, immunomodulatory, anti-platelet, antiviral (hepatitis) and detoxifying agent. Licorice was used as an example to show drug discovery from herbal drugs using systems approaches and polypharmacology. Herbal medicines are becoming more mainstream in clinical practice and show value in treating and preventing diseases. However, due to its extreme complexity both in chemical components and mechanisms of action, deep understanding of botanical drugs is still difficult. Thus, a comprehensive systems approach which could identify active ingredients and their targets in the crude drugs and more importantly, understand the biological basis for the pharmacological properties of herbal medicines is necessary. In this study, a novel systems pharmacology model that integrates oral bioavailability screening, drug-likeness evaluation, blood–brain barrier permeation, target identification and network analysis has been established to investigate the herbal medicines. The comprehensive systems approach effectively identified 73 bioactive components from licorice and 91 potential targets for this medicinal herb. These 91 targets are closely associated with a series of diseases of respiratory system, cardiovascular system, and gastrointestinal system, etc. These targets are further mapped to drug–target and drug–target–disease networks to elucidate the mechanism of this herbal medicine. This work provides a novel in silico strategy for investigation of the botanical drugs containing a huge number of components, which has been demonstrated by the well-studied licorice case. This attempt should be helpful for understanding definite mechanisms of action for herbal medicines and discovery of new drugs from plants.
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