首页> 外文期刊>BMC Infectious Diseases >A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
【24h】

A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host

机译:一种系统生物驱动的方法,用其主持人构建流感综合蛋白质相互作用网络

获取原文
           

摘要

Influenza A virus (IAV) infection is a serious public health problem not only in South East Asia but also in European and African countries. Scientists are using network biology to dig deep into the essential host factors responsible for regulation of virus infections. Researchers can explore the virus invasion into the host cells by studying the virus-host relationship based on their protein-protein interaction network. In this study, we present a comprehensive IAV-host protein-protein interaction network that is obtained based on the literature-curated protein interaction datasets and some important interaction databases. The network is constructed in Cytoscape and analyzed with its plugins including CytoHubba, CytoCluster, MCODE, ClusterViz and ClusterOne. In addition, Gene Ontology and KEGG enrichment analyses are performed on the highly IAV-associated human proteins. We also compare the current results with those from our previous study on Hepatitis C Virus (HCV)-host protein-protein interaction network in order to find out valuable information. We found out 1027 interactions among 829 proteins of which 14 are viral proteins and 815 belong to human proteins. The viral protein NS1 has the highest number of associations with human proteins followed by NP, PB2 and so on. Among human proteins, LNX2, MEOX2, TFCP2, PRKRA and DVL2 have the most interactions with viral proteins. Based on KEGG pathway enrichment analysis of the highly IAV-associated human proteins, we found out that they are enriched in the KEGG pathway of basal cell carcinoma. Similarly, the result of KEGG analysis of the common host factors involved in IAV and HCV infections shows that these factors are enriched in the infection pathways of Hepatitis B Virus (HBV), Viral Carcinoma, measles and certain other viruses. It is concluded that the list of proteins we identified might be used as potential drug targets for the drug design against the infectious diseases caused by Influenza A Virus and other viruses.
机译:流感病毒(IAV)感染不仅是在东南亚的严重公共卫生问题,也是欧洲和非洲国家。科学家正在利用网络生物学深入挖掘负责调节病毒感染的基本宿主因子。研究人员可以通过基于其蛋白质 - 蛋白质相互作用网络研究病毒 - 宿主关系来探索病毒侵入宿主细胞。在本研究中,我们提出了一种综合的IAV-宿主蛋白质 - 蛋白质相互作用网络,该蛋白质相互作用网络是基于文献策划蛋白质交互数据集获得的和一些重要的交互数据库。该网络在Cytoscape中构建并用其插件分析,包括CytoHubba,Cytocluster,MCODE,ClusterViz和Clusterne。此外,在高度IAV相关的人蛋白上进行基因本体和Kegg浓缩分析。我们还将目前的结果与我们以前关于丙型肝炎病毒(HCV)-HOST蛋白质 - 蛋白质相互作用网络的研究结果进行比较,以便找出有价值的信息。我们发现1027个相互作用,其中829个蛋白质中的14个是病毒蛋白,815属于人类蛋白质。病毒蛋白NS1具有与人蛋白的最多次数,然后是NP,PB2等。在人蛋白质中,LNX2,Meox2,TFCP2,PrKRA和DVL2具有与病毒蛋白最相互作用。基于Kegg途径的浓缩分析高度IAV相关的人类蛋白质,我们发现它们在基础细胞癌的Kegg路径中富集。类似地,IAV和HCV感染所涉及的常见宿主因子的Kegg分析表明,这些因素富含乙型肝炎病毒(HBV),病毒癌,麻疹和某些其他病毒的感染途径。得出结论,我们鉴定的蛋白质清单可能被用作药物设计针对由流感病毒和其他病毒引起的传染病的潜在药物目标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号