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胰岛素受体底物1和2的氨基酸网络特征研究 被引量:1

Study of Amino Acid Network Characteristics of Insulin Receptor Substrate 1 and 2
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摘要 在胰岛素对脂质代谢的调控作用中,胰岛素受体底物2(IRS2)比胰岛素受体底物1(IRS1)发挥了更加重要的作用。为研究两者发挥作用的差异,分别选择IRS1、IRS2的4个结构数据,构建氨基酸相互作用网络,计算整体拓扑特征,分析网络的hub氨基酸差异,计算7种中心性特征。实验表明,IRS2氨基酸相互作用网络的平均度及聚类系数高于IRS1的1QQG、5U1M、6BNT;IRS2中的hub氨基酸ATP、LYS、ILE是IRS1所没有的;除子图中心性和特征向量中心性外,IRS2网络中节点的其他中心性特征均优于IRS1。结果表明,IRS2的氨基酸相互作用网络中,节点聚集程度较高,更容易形成模块,更容易到达其他节点,与其他节点发生通讯。可以推测:IRS2在胰岛素对肝脏的代谢调控中比IRS1发挥着更加重要的作用。 Insulin receptor substrate 2(IRS2)plays a more important role than insulin receptor substrate 1(IRS1)in the regulation of insulin on lipid metabolism.In order to study the difference of the two functions,four structural data of IRS1 and IRS2 were selected to construct the amino acid interaction network,calculate the overall topological characteristics,analyze the hub amino acid differences of the network,and calculate 7 kinds of central characteristics.The results showed that the average degree and clustering coefficient of IRS2 amino acid interaction network were higher than those of IRS1,such as 1QQG,5U1M and 6BNT.The hub amino acids ATP,LYS and ILE in IRS2 were not found in IRS1.Except for subgraph centrality and eigenvector centrality,other centrality characteristics of nodes in IRS2 network are superior to IRS1.The results show that in the amino acid interaction network of IRS2,the nodes are more aggregated,easier to form modules,easier to reach other nodes and communicate with other nodes.It can be inferred that IRS2 plays a more important role than IRS1 in the metabolic regulation of insulin on liver.
作者 苗孟君 李云松 张延义 MIAO Mengjun;LI Yunsong;ZHANG Yanyi(School of Information Engineering,Chuzhou Polytechnic,Chuzhou Anhui 239000,China;Office Educational Administration,Chuzhou Polytechnic,Chuzhou Anhui 239000,China)
出处 《盐城工学院学报(自然科学版)》 CAS 2021年第2期66-73,共8页 Journal of Yancheng Institute of Technology:Natural Science Edition
基金 安徽省级教学研究项目(2018jyxm0833) 校级自然科学研究项目(YJY-2020-24)。
关键词 胰岛素受体底物1 2 氨基酸相互作用网络 拓扑特征 hub氨基酸 中心性特征 insulin receptor substrate 1,2 amino acid interaction network topological features hub amino acids central characteristic
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