基于复杂网络理论的酵母菌PPI网络中关键蛋白质与核心蛋白质组的识别
Identification of Essential Proteins and Core Protein Groups in the Yeast PPI Network Based on Complex Network Theory
万杰 1武子惠 1彭雨萱 1李羚 1李子正 1丁彦蕊1
作者信息
- 1. 江南大学理学院信息与计算科学系,江苏,无锡 214122
- 折叠
摘要
识别关键蛋白质对疾病治疗、药物设计等领域有重要作用.本文首先采用5种节点重要性排序算法,对4种酵母菌PPI网络进行关键蛋白质识别,并通过分析不同网络之间共有的关键蛋白质,构建了关键蛋白质子网.再通过杰卡德相似度指标,筛选出子网中拓扑特征相似的关键蛋白质对,发现 4 种网络中存在 Gavin-EPG 1、Gavin-EPG 2、Babu-EPG 1、Babu-EPG 2、LCMS-EPG、MALDI-EPG共6个核心蛋白质组.尽管它们大都是核糖体蛋白质,然而不同的酵母菌PPI网络中核心蛋白质组中蛋白质的组成差异很大.本文所发现的关键蛋白质以及核心蛋白质组对进一步研究核糖体上蛋白质如何相互作用影响肽链的合成以及折叠提供了重要的理论参考.
Abstract
Identifying essential proteins plays a significant role in fields such as disease treatment and drug design.In this paper,we initially employed five node importance ranking algorithms to identify essential proteins in four yeast protein-protein interaction(PPI)networks.By analyzing the common essential proteins among different networks,we constructed a subnetwork of essential proteins.Subsequently,using the Jaccard index,we filtered out pairs of essential proteins within the subnetwork that exhibited similar topological characteristics.This analysis revealed the presence of six core protein groups,namely Gavin-EPG 1,Gavin-EPG 2,Babu-EPG 1,Babu-EPG 2,LCMS-EPG,and MALDI-EPG,across the four networks.Although they are predominantly ribosomal proteins,the composition of proteins within the core protein groups varies significantly among the different yeast PPI networks.The essential proteins and core protein groups identified in this paper provide important theoretical references for further research on how protein interactions on the ribosome affect peptide chain synthesis and folding.
关键词
酵母菌相互作用网络/节点重要性排序算法/杰卡德相似度指标/关键蛋白质Key words
yeast protein-protein interaction network/node importance ranking algorithms/Jaccard index/essential proteins引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据