期刊
BRIEFINGS IN BIOINFORMATICS
卷 22, 期 2, 页码 1620-1638出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbz163
关键词
mass spectrometry; protein identification; proteomics; protein characterization; bioinformatics tools; proteome
资金
- Department of Molecular Sciences and Health and Biomedical Sciences, Macquarie University
- Institute NSW [15/ECF/1-38]
Accurate protein identification is crucial in proteomics, with mass spectrometry being the primary technique used. Understanding data generation and parameters used in computational tools is essential for proper protein identification. Bioinformatics and computational methodologies are also important for validating protein identification in proteomics.
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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