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Front Cover: Shortlisting SARS‐CoV‐2 Peptides for Targeted Studies from Experimental Data‐Dependent Acquisition Tandem Mass Spectrometry Data
Author(s) -
Gouveia Duarte,
Grenga Lucia,
Gaillard JeanCharles,
Gallais Fabrice,
Bellanger Laurent,
Pible Olivier,
Armengaud Jean
Publication year - 2020
Publication title -
proteomics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202070111
Subject(s) - front cover , library science , citation , computer science , information retrieval , covid-19 , cover (algebra) , engineering , medicine , mechanical engineering , disease , pathology , infectious disease (medical specialty)
DOI: 10.1002/pmic.202000107 Identifying as quickly as possible the SARS‐CoV‐2 virus is of utmost importance for improving COVID‐19 diagnostic and for securing places where virus could be present. Tandem mass spectrometry may represent an interesting alternative to current diagnostic tools. In article number 2000107 by Duarte Gouveia et al., a list of SARS‐CoV‐2 peptides is established and prioritized in terms of mass spectrometry signal, sequence conservation amongst all known coronavirus genomes, and hydrophobicity characteristics. A shortlist of 14 peptides from the N, S, and M main structural proteins is recommended for developing mass spectrometry detection assays.