Publication
Title
Open science resources for the mass spectrometry-based analysis of SARS-CoV-2
Author
Abstract
The SARS-CoV-2 virus is the causative agent of the 2020 pandemic leading to the COVID-19 respiratory disease. With many scientific and humanitarian efforts ongoing to develop diagnostic tests, vaccines, and treatments for COVID-19, and to prevent the spread of SARS-CoV-2, mass spectrometry research, including proteomics, is playing a role in determining the biology of this viral infection. Proteomics studies are starting to lead to an understanding of the roles of viral and host proteins during SARS-CoV-2 infection, their protein–protein interactions, and post-translational modifications. This is beginning to provide insights into potential therapeutic targets or diagnostic strategies that can be used to reduce the long-term burden of the pandemic. However, the extraordinary situation caused by the global pandemic is also highlighting the need to improve mass spectrometry data and workflow sharing. We therefore describe freely available data and computational resources that can facilitate and assist the mass spectrometry-based analysis of SARS-CoV-2. We exemplify this by reanalyzing a virus–host interactome data set to detect protein–protein interactions and identify host proteins that could potentially be used as targets for drug repurposing.
Language
English
Source (journal)
Journal of proteome research. - -
Publication
2021
ISSN
1535-3893
DOI
10.1021/ACS.JPROTEOME.0C00929
Volume/pages
20 :3 (2021) , p. 1464-1475
ISI
000626877900002
Pubmed ID
33605735
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Intelligent quality control for mass spectrometry-based proteomics
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 24.02.2021
Last edited 17.11.2024
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