网络药理学---副本

NetworkpharmacologyforFangJiomicsapproachNetworkpharmacologyAnewperspectivetounderstandprincipleofdrugcombinationinTraditionalChineseMedicine?•君-King•臣-Minister•佐-Assistant•使-AmbassadorTheInter-ModuleNetworkDifferentRolesoftheGeneModules&theircooperationeffectsTheinformationtodeliver•Networkcouldbedrugtarget•Networkpharmacologybelongstoadivisionofsystemsbiologyandprovidesasynergisticstrategiesandcomprehensiveapproachestorevealtheinnernetworkrelationshipsbetweenmoderndrugsandhumanbodyfunction.Notably,itisveryhelpfulforscreeningactivecomponents,exploringpotentialtargetsandclarifyingcomplexmechanismsinTCMviahighthroughputtechnologiesofnetworkpharmacologyGeneModuleDatabaseProteinNetworkPathwayGeneOntologymiRNATargetGeneGeneModuleDatabaseFigure1.TheframeworkoftheFangjiomicsstudyofXKATable1.Thetop10compoundswiththemosttargetsFigure4A.Thetopcompound-target–pathwaynetworksofXKAinthetreatmentofT2D.(A).Thecompound-target–pathwaynetworkswithcompoundsidentifiedbyLC-MSanalysis(NCA)Figure4B.(B)Thetopcompound-target–pathwaynetworkwithcompoundscollectedfromdatabases(NCD)GreendiamondnodesrepresentcompoundsThenodesizeisproportionaltothedegreeoftheGreen.PinkcirclenodesrepresenttargetgenesPurpleroundedsquarenodesrepresentT2D-associatedpathwaysGreenedgeslinkcompoundstotargetgenesandbluedgeslinktargetgenestoT2D-associatedpathways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Thankyou!