Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Comput Biol Med. 2021 Aug;135:104563. doi: 10.1016/j.compbiomed.2021.104563. Epub 2021 Jun 9.
Cytomegalovirus infection is a significant health concern and need further exploration in immunologic response mechanisms during primary and reactivated CMV infection. In this work, we evaluated the whole genomes and proteomes of different CMV species and developed an integrated open-access platform, CytomegaloVirusDb, a multi-Omics knowledge database for Cytomegaloviruses. The resource is categorized into the main sections "Genomics," "Proteomics," "Immune response," and "Therapeutics,". The database is annotated with the list of all CMV species included in the study, and available information is freely accessible at http://www.cmvdb.dqweilab-sjtu.com/index.php. Various parameters used in the analysis for each section were primarily based on the whole genome or proteome of each specie. The platform provided datasets are open to access for researchers to obtain CMV species-specific information. This will help further to explore the dynamics of CMV-specific immune response and therapeutics. This platform is a useful resource to aid in advancing research against Cytomegaloviruses.
巨细胞病毒感染是一个重大的健康问题，需要进一步探索原发性和再激活巨细胞病毒感染期间的免疫反应机制。在这项工作中，我们评估了不同巨细胞病毒物种的全基因组和蛋白质组，并开发了一个集成的开放访问平台，即 CytomegaloVirusDb，这是一个用于巨细胞病毒的多组学知识库。该资源分为“基因组学”、“蛋白质组学”、“免疫反应”和“治疗学”四个主要部分。该数据库注释了研究中包含的所有巨细胞病毒物种的列表，所有信息均可在 http://www.cmvdb.dqweilab-sjtu.com/index.php 免费获取。每个部分中分析中使用的各种参数主要基于每个物种的全基因组或蛋白质组。该平台提供的数据集可供研究人员访问，以获取巨细胞病毒物种特异性信息。这将有助于进一步探索巨细胞病毒特异性免疫反应和治疗学的动态。该平台是一个有用的资源，可以帮助推进针对巨细胞病毒的研究。
