Ng Teng Ann, Rashid Shamima, Kwoh Chee Keong
School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Front Bioinform. 2023 Feb 17;3:1123993. doi: 10.3389/fbinf.2023.1123993. eCollection 2023.
There exist several databases that provide virus-host protein interactions. While most provide curated records of interacting virus-host protein pairs, information on the strain-specific virulence factors or protein domains involved, is lacking. Some databases offer incomplete coverage of influenza strains because of the need to sift through vast amounts of literature (including those of major viruses including HIV and Dengue, besides others). None have offered complete, strain specific protein-protein interaction records for the influenza A group of viruses. In this paper, we present a comprehensive network of predicted domain-domain interaction(s) (DDI) between influenza A virus (IAV) and mouse host proteins, that will allow the systematic study of disease factors by taking the virulence information (lethal dose) into account. From a previously published dataset of lethal dose studies of IAV infection in mice, we constructed an interacting domain network of mouse and viral protein domains as nodes with weighted edges. The edges were scored with the Domain Interaction Statistical Potential (DISPOT) to indicate putative DDI. The virulence network can be easily navigated a web browser, with the associated virulence information (LD values) prominently displayed. The network will aid influenza A disease modeling by providing strain-specific virulence levels with interacting protein domains. It can possibly contribute to computational methods for uncovering influenza infection mechanisms mediated through protein domain interactions between viral and host proteins. It is available at https://iav-ppi.onrender.com/home.
有几个数据库提供病毒与宿主的蛋白质相互作用信息。虽然大多数数据库提供了经过整理的病毒与宿主相互作用蛋白质对的记录,但缺乏有关特定毒株的毒力因子或所涉及蛋白质结构域的信息。由于需要筛选大量文献(包括除其他外的主要病毒如艾滋病毒和登革热的文献),一些数据库对流感毒株的覆盖并不完整。没有一个数据库提供甲型流感病毒组完整的、特定毒株的蛋白质 - 蛋白质相互作用记录。在本文中,我们展示了一个甲型流感病毒(IAV)与小鼠宿主蛋白质之间预测的结构域 - 结构域相互作用(DDI)的综合网络,该网络将通过考虑毒力信息(致死剂量)来系统地研究疾病因子。从先前发表的关于IAV感染小鼠的致死剂量研究数据集中,我们构建了一个以小鼠和病毒蛋白质结构域为节点、带加权边的相互作用结构域网络。边用结构域相互作用统计势(DISPOT)评分以指示假定的DDI。通过网络浏览器可以轻松浏览毒力网络,同时会显著显示相关的毒力信息(LD值)。该网络将通过提供具有相互作用蛋白质结构域的特定毒株毒力水平来辅助甲型流感疾病建模。它可能有助于通过揭示病毒和宿主蛋白质之间蛋白质结构域相互作用介导的流感感染机制的计算方法。可在https://iav-ppi.onrender.com/home获取。