10.5281/zenodo.4552687
https://zenodo.org/records/4552687
oai:zenodo.org:4552687
Bittremieux, Wout
Wout
Bittremieux
0000-0002-3105-1359
University of California San Diego
Adams, Charlotte
Charlotte
Adams
University of Antwerp
Laukens, Kris
Kris
Laukens
0000-0002-8217-2564
University of Antwerp
Dorrestein, Pieter C.
Pieter C.
Dorrestein
0000-0002-3003-1030
University of California San Diego
Bandeira, Nuno
Nuno
Bandeira
0000-0001-8385-3655
University of California San Diego
Open science resources for the mass spectrometry-based analysis of SARS-CoV-2
Zenodo
2021
2021-02-19
10.5281/zenodo.4287439
Creative Commons Attribution 4.0 International
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.