Protein Identification by Database Searching of Mass Spectrometry Data in the Teaching of Proteomics
Vinícius Marquioni, Francis Morais Franco Nunes, Maria Teresa Marques Novo‐Mansur
Abstract
Mass spectrometry is essential for large-scale protein identification in proteomics. By database searching of mass spectrometry data, it is possible to identify proteins without the need to interpret MS/MS spectra (de novo sequencing), which is time-consuming and not feasible as a systematic tool in proteomic analysis. Many authors have reported initiatives to teach protein mass spectrometry to undergraduate students, but database searching is usually not emphasized. Here, we propose a class about database searching of mass spectrometry data for protein identification in order to complement a theoretical proteomics course. It includes a presentation about the theory of database searching and a practical, computer-based activity in which students can learn how to perform analysis of mass spectrometry data for proteomics purposes. Our class model fills a widespread gap in the teaching of proteomics and improves students’ understanding of protein identification by mass spectrometry.