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Autor/inn/enMarquioni, Vinícius; Nunes, Francis Morais Franco; Novo-Mansur, Maria Teresa Marques
TitelProtein Identification by Database Searching of Mass Spectrometry Data in the Teaching of Proteomics
QuelleIn: Journal of Chemical Education, 98 (2021) 3, S.812-823 (12 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Nunes, Francis Morais Franco)
ORCID (Novo-Mansur, Maria Teresa Marques)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0021-9584
SchlagwörterSpectroscopy; Biochemistry; Databases; Science Instruction; Undergraduate Students; Search Engines; Online Searching; Data Analysis
AbstractMass 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. (As Provided).
AnmerkungenDivision of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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