作者机构：
[Yu PAN; Shun-Xiang LI; Dan HUANG; Min-Qiu PAN] School of Pharmacy,Hunan University of Chinese Medicine;[Yu PAN; Shun-Xiang LI; Dan HUANG; Min-Qiu PAN] Hunan Hospitals of Traditional Chinese and Western Medicine;[Yu PAN; Shun-Xiang LI; Dan HUANG; Min-Qiu PAN] Liver Cancer Research Institute,Hunan Academy of Traditional Chinese Medicine
会议名称：
2013年代谢组学与中医药现代研究学术论坛
会议时间：
2013-10-14
会议地点：
太原
会议论文集名称：
2013年代谢组学与中医药现代研究学术论坛论文集
关键词：
Ganfule formula;Chinese herbal medicine;hepatocellular carcinoma;network pharmacology;drug discovery and combination
摘要：
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.
作者机构：
[周晋] School of Bioscience and Technology, Hunan Agricultural University, Changsha 410128, China;[李顺祥; 季梅; 黄丹; 虢小翊] School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China;Key Lab. of Chinese Materia Medica Research and Development, Hunan Academy of Chinese Medicine, Changsha 410013, China;[颜新培] Sercultural Sciences Institute of Hunan Province, Changsha 410127, China;[郑群怡] Natsource Chemicals (Changsha) Corporation, Changsha 410329, China
通讯机构：
School of Bioscience and Technology, Hunan Agricultural University, China
摘要：
In the present paper, experimental materials of 33 accessions representative of the Euodia rutaecarpa from four Chinese provinces were analyzed using the sequence-related amplified polymorphism (SRAP) and amplified fragment length polymorphism (AFLP) techniques, focusing on their molecular discrimination and the assessment of their genetic relatedness. For the analysis, we optimized 10 pairs of SRAP primers and 6 pairs of AFLP primers, (The software package NTSYS-pc 2.1 was applied to analyze the data matrix) and cluster analysis distributed samples into two clusters, one with E. rutaecarpa var. officinalis (Dode) Huang and the other with E. rutaecarpa (Juss.) Benth by SRAP+AFLP markers in the same similarity coefficient of 0.53 (Genetic parameters also analyzed using POPGENE version 1.31). Genetic diversity in the species was detected with SRAP (H = 0.2260, I = 0.3341) and AFLP (H = 0.1665; I = 0.2518) markers. Genetic variability levels of E. rutaecarpa var. officinalis (Dode) Huang was higher than genetic variability levels of E. rutaecarpa (Juss.) Benth. Our study shown that both SRAP and AFLP molecular markers are in high efficiency in detecting the genetic diversity of E. rutaecarpa.
