生物
计算生物学
领域(数学分析)
推论
体系结构域
疱疹病毒科
人类疾病
人科
建筑
遗传学
进化生物学
生物进化
人工智能
计算机科学
基因
病毒
病毒性疾病
艺术
企业架构管理
视觉艺术
企业架构
数学分析
数学
作者
Christian M. Zmasek,David M. Knipe,Philip E. Pellett,Richard H. Scheuermann
出处
期刊:Virology
[Elsevier BV]
日期:2019-01-06
卷期号:529: 29-42
被引量:12
标识
DOI:10.1016/j.virol.2019.01.005
摘要
We developed a computational approach called Domain-architecture Aware Inference of Orthologs (DAIO) for the analysis of protein orthology by combining phylogenetic and protein domain-architecture information. Using DAIO, we performed a systematic study of the proteomes of all human Herpesviridae species to define Strict Ortholog Groups (SOGs). In addition to assessing the taxonomic distribution for each protein based on sequence similarity, we performed a protein domain-architecture analysis for every protein family and computationally inferred gene duplication events. While many herpesvirus proteins have evolved without any detectable gene duplications or domain rearrangements, numerous herpesvirus protein families do exhibit complex evolutionary histories. Some proteins acquired additional domains (e.g., DNA polymerase), whereas others show a combination of domain acquisition and gene duplication (e.g., betaherpesvirus US22 family), with possible functional implications. This novel classification system of SOGs for human Herpesviridae proteins is available through the Virus Pathogen Resource (ViPR, www.viprbrc.org ).
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