生物
计算生物学
蛋白质组学
蛋白质组
病毒学
病毒感染
系统生物学
病毒
生物信息学
仿形(计算机编程)
计算机科学
细胞生物学
遗传学
基因
操作系统
作者
Kevin Klann,Georg Tascher,Christian Münch
出处
期刊:Advances in Virus Research
日期:2021-01-01
卷期号:: 1-29
被引量:5
标识
DOI:10.1016/bs.aivir.2020.12.001
摘要
The host cell proteome undergoes a variety of dynamic changes during viral infection, elicited by the virus itself or host cell defense mechanisms. Studying these changes on a global scale by integrating functional and physical interactions within protein networks during infection is an important tool to understand pathology. Indeed, proteomics studies dissecting protein signaling cascades and interaction networks upon infection showed how global information can significantly improve understanding of disease mechanisms of diverse viral infections. Here, we summarize and give examples of different experimental designs, proteomics approaches and bioinformatics analyses that allow profiling proteome changes and host–pathogen interactions to gain a molecular systems view of viral infection.
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