4552687
doi
10.5281/zenodo.4552687
oai:zenodo.org:4552687
Adams, Charlotte
University of Antwerp
Laukens, Kris
University of Antwerp
Dorrestein, Pieter C.
University of California San Diego
Bandeira, Nuno
University of California San Diego
Open science resources for the mass spectrometry-based analysis of SARS-CoV-2
Bittremieux, Wout
University of California San Diego
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>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 dataset to detect protein-protein interactions and identify host proteins that could potentially be used as targets for drug repurposing.</p>
Zenodo
2021-02-19
info:eu-repo/semantics/article
4287439
1629337700.064575
661755
md5:7d88a447a112e152d69472ca8cdad2bd
https://zenodo.org/records/4552687/files/Bittremieux2021.pdf
public
10.5281/zenodo.4287439
isVersionOf
doi
Journal of Proteome Research
2021-02-19