Network pharmacology approach to predicting the anti-cancer active ingredients of Ganfule, a Chinese Traditional Medicine Formula,against Hepatocellular carcinoma
Ethmopharmcology relevance: Ganfule(GFL),one of herbal medicines formula in china, has been widely used as the prevention of hepatic cirrhosis, hepatitical viral and liver cancer agent.However, its material basis that account for therapeutic effects and mechanisms of action at molecular-level remain unclear.Methods: Here, we constructed a computational systems approach that integrates druglikeness prescreening, ADME (absorption, distribution, metabolism, and excretion) prediction, molecular docking and multi-components, multi-targets, multi-pathways networks construction.Results: The network-based approach indentified 69 potential active ingredients that are closely associated 8 targets relating to Hepatocellular carcinoma (HCC); Herba Artemisiae(Yinchenhao) and Radix Bupleuri(Chaihu) represent the principal components for the prevention of HCC;P13K-Akt signaling pathway, mTOR signaling pathway and Jak-STAT signaling pathway are major important mechanisms of treating HCC;GFL formula may have effects of a series of diseases of cancer, infection and nervous system, etc.Conculsion: This work successful illustrates the potential active components and the mechanism of efficiency of GFL formula against HCC.Therefore, such a network pharmacology strategy is expected to elucidating the material basis and mechanisms of action of Chinese herbal medicine formula.
Ganfule formula Chinese herbal medicine hepatocellular carcinoma network pharmacology drug discovery and combination
Yu PAN Shun-Xiang LI Dan HUANG Min-Qiu PAN
School of Pharmacy,Hunan University of Chinese Medicine,Changsha 410208,China Hunan Hospitals of Traditional Chinese and Western Medicine,Changsha 410208,China;Liver Cancer Resea
国内会议
太原
英文
224-241
2013-10-14（万方平台首次上网日期，不代表论文的发表时间）