蛋白质组学
鉴定(生物学)
蛋白质组
计算生物学
数据科学
计算机科学
定量蛋白质组学
系统生物学
串联质量标签
生物标志物发现
自下而上蛋白质组学
生物
蛋白质基因组学
生物信息学
化学
串联质谱法
生物化学
基因
植物
作者
Zainab Noor,Seong Beom Ahn,Mark S. Baker,Shoba Ranganathan,Abidali Mohamedali
摘要
Abstract Statistically, accurate protein identification is a fundamental cornerstone of proteomics and underpins the understanding and application of this technology across all elements of medicine and biology. Proteomics, as a branch of biochemistry, has in recent years played a pivotal role in extending and developing the science of accurately identifying the biology and interactions of groups of proteins or proteomes. Proteomics has primarily used mass spectrometry (MS)-based techniques for identifying proteins, although other techniques including affinity-based identifications still play significant roles. Here, we outline the basics of MS to understand how data are generated and parameters used to inform computational tools used in protein identification. We then outline a comprehensive analysis of the bioinformatics and computational methodologies used in protein identification in proteomics including discussing the most current communally acceptable metrics to validate any identification.
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