Valiente Gabriel
Algorithms, Bioinformatics, Complexity and Formal Methods Research Group, Department of Computer Science, Technical University of Catalonia, Barcelona, Spain.
Front Microbiol. 2022 Jul 15;13:827742. doi: 10.3389/fmicb.2022.827742. eCollection 2022.
Knowledge of virus-host interactomes has advanced exponentially in the last decade by the use of high-throughput screening technologies to obtain a more comprehensive landscape of virus-host protein-protein interactions. In this article, we present a systematic review of the available virus-host protein-protein interaction database resources. The resources covered in this review are both generic virus-host protein-protein interaction databases and databases of protein-protein interactions for a specific virus or for those viruses that infect a particular host. The databases are reviewed on the basis of the specificity for a particular virus or host, the number of virus-host protein-protein interactions included, and the functionality in terms of browse, search, visualization, and download. Further, we also analyze the overlap of the databases, that is, the number of virus-host protein-protein interactions shared by the various databases, as well as the structure of the virus-host protein-protein interaction network, across viruses and hosts.
在过去十年中，通过使用高通量筛选技术，病毒-宿主相互作用组的知识呈指数级增长，从而获得了更全面的病毒-宿主蛋白质-蛋白质相互作用图谱。在本文中，我们对现有的病毒-宿主蛋白质-蛋白质相互作用数据库资源进行了系统综述。本综述涵盖的资源既有通用的病毒-宿主蛋白质-蛋白质相互作用数据库，也有特定病毒或感染特定宿主的病毒的蛋白质-蛋白质相互作用数据库。根据对特定病毒或宿主的特异性、所包含的病毒-宿主蛋白质-蛋白质相互作用的数量以及在浏览、搜索、可视化和下载方面的功能对这些数据库进行了综述。此外，我们还分析了数据库之间的重叠情况，即各个数据库共享的病毒-宿主蛋白质-蛋白质相互作用的数量，以及跨病毒和宿主的病毒-宿主蛋白质-蛋白质相互作用网络的结构。
