网络药理学 - 副本

经评价的小分子化合物及其作用靶点数量均有限
共享的数据库信息均倾向于某些热点研究领域, 因此其信息均存在不同程度的局限 性
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Gene Module Database
Protein Network
Pathway
Gene Ontology
miRNA Target Gene
Gene Module Database
Figure1.The framework of the Fangjiomics study of XKA
Table1.The top 10 compounds with the most targets
源自文库 展望
通过生物学网络中节点的连接和关系来分析网络特性，进一步阐明药物作用机制
通过网络药理学的研究来寻找、优化和确认靶点，对新药的发现具有重要的指导 意义 通过网络药理学分析，可以预测和分 析药物副作用产生的可能性和药物作用的 新 靶点
存在的问题
网络药理学的发展毕竟刚刚起步, 方兴未艾, 很多方面, 特别是网络药理学计算所 需要的基础数据, 还有待于系统、全面地积累与整合, 未来发展之路还很漫长 目前用于网络计算的大部分图谱信息来源于不同的实验条件, 在计算两个相似或 相同的疾病时, 具有很低的相关性, 呈现出假阴性
Figure4B.(B)The top compound-target –pathway network with compounds collected from databases(NCD) Green diamond nodes represent compounds Pink circle nodes represent target genes Purple rounded square nodes represent T2D-associated pathways
The Inter-Module Network
Different Roles of the Gene Modules & their cooperation effects
• • • •
君 - King 臣 - Minister 佐 - Assistant 使 - Ambassador
The information to deliver
The node size is proportional to the degree of the Green. Green edges link compounds to target genes and blu edges link target genes to T2D-associated pathways
• Network could be drug target
• Network pharmacology belongs to a division of systems biology and provides a synergistic strategies and comprehensive approaches to reveal the inner network relationships between modern drugs and human body function. Notably, it is very helpful for screening active components, exploring potential targets and clarifying complex mechanisms in TCM via highthroughput technologies of network pharmacology
Figure4A.The top compound-target –pathway networks of XKA in the treatment of T2D.
(A).The compound-target –pathway networks with compounds identified by LC-MS analysis (NCA)
Network pharmacology for FangJiomics approach
Network pharmacology
A new perspective to understand principle of drug combination in Traditional Chinese Medicine ?