基于蛋白-蛋白相互作用网络预测靶点可药性
余小娟，李洪林*
上海市新药设计重点实验室，华东理工大学药学院, 200237
邮箱：hlli@
网络药理学是系统生物学和多向药理学快速发展的基础上提出的药物设计新学科，网络
计算方法和药物相关数据库的不断完善也为其应用提供相应的平台。

根据蛋白质-蛋白质相
互作用数据信息，采用Cytoscape软件构建其相互作用网络，通过统计和支持向量机分析，
我们得出药物靶点，非药物靶点及必要性靶点等在蛋白质相互作用网络中的拓扑性质，从而
为寻找可药性靶点，药物设计提高药效和安全性提供了一个新的思路和途径。

Tab.1Drug and non-drug targets topological properties
drug targets non-drug targets
mean property mean
7.5391
degree 14.622
cluster coefficient 0.0812 0.1035
topology coefficient 0.1621 0.1959
shortest path 3.7176 4.0962
neighborhood connectivity 31.599 35.8627
关键词：网络药理学, 药物靶标，网络拓扑
参考文献：
[1]Hopkins AL..Nat Chem Biol, 2008, 4: 682−690.
[2]Mingzhu Zhu, Lei Gao, Xia Li, et al. Journay of Drug Targeting,2009,17(7):524-532. Predicting Druggable Targets Based on Protein-Protein Interaction
Network
Xiao-Juan Yu, Hong-Lin Li*
Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 200237
Network pharmacology is a new drug design subject that based on the rapid development of network biology and polypharmacology, while continuously perfect network methods and drug-related databases give a platform for its application. According to protein-protein interaction data information, by using Cytoscape software to build interaction network as well as statistics and SVM analysis, we obtain topological properties of drug targets, non-drug targets, essential targets in protein interaction network. The survey supports a new method for finding druggable target as well as safety and efficiency of drugs.
Keywords : network pharmacology, drug-target, network topology。