tetano
Editor, Senior Moderator
Nat Commun
. 2020 Jul 14;11(1):3518.
doi: 10.1038/s41467-020-17189-2.
Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing
Sepideh Sadegh[SUP] 1 [/SUP], Julian Matschinske[SUP] 1 [/SUP], David B Blumenthal[SUP] 1 [/SUP], Gihanna Galindez[SUP] 1 [/SUP], Tim Kacprowski[SUP] 1 [/SUP], Markus List[SUP] 1 [/SUP], Reza Nasirigerdeh[SUP] 1 [/SUP], Mhaned Oubounyt[SUP] 1 [/SUP], Andreas Pichlmair[SUP] 2 [/SUP], Tim Daniel Rose[SUP] 3 [/SUP], Marisol Salgado-Albarr?n[SUP] 1 4 [/SUP], Julian Sp?th[SUP] 1 [/SUP], Alexey Stukalov[SUP] 2 [/SUP], Nina K Wenke[SUP] 1 [/SUP], Kevin Yuan[SUP] 1 [/SUP], Josch K Pauling[SUP] 3 [/SUP], Jan Baumbach[SUP] 5 6 [/SUP]
Affiliations
Abstract
Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Various studies exist about the molecular mechanisms of viral infection. However, such information is spread across many publications and it is very time-consuming to integrate, and exploit. We develop CoVex, an interactive online platform for SARS-CoV-2 host interactome exploration and drug (target) identification. CoVex integrates virus-human protein interactions, human protein-protein interactions, and drug-target interactions. It allows visual exploration of the virus-host interactome and implements systems medicine algorithms for network-based prediction of drug candidates. Thus, CoVex is a resource to understand molecular mechanisms of pathogenicity and to prioritize candidate therapeutics. We investigate recent hypotheses on a systems biology level to explore mechanistic virus life cycle drivers, and to extract drug repurposing candidates. CoVex renders COVID-19 drug research systems-medicine-ready by giving the scientific community direct access to network medicine algorithms. It is available at https://exbio.wzw.tum.de/covex/.
. 2020 Jul 14;11(1):3518.
doi: 10.1038/s41467-020-17189-2.
Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing
Sepideh Sadegh[SUP] 1 [/SUP], Julian Matschinske[SUP] 1 [/SUP], David B Blumenthal[SUP] 1 [/SUP], Gihanna Galindez[SUP] 1 [/SUP], Tim Kacprowski[SUP] 1 [/SUP], Markus List[SUP] 1 [/SUP], Reza Nasirigerdeh[SUP] 1 [/SUP], Mhaned Oubounyt[SUP] 1 [/SUP], Andreas Pichlmair[SUP] 2 [/SUP], Tim Daniel Rose[SUP] 3 [/SUP], Marisol Salgado-Albarr?n[SUP] 1 4 [/SUP], Julian Sp?th[SUP] 1 [/SUP], Alexey Stukalov[SUP] 2 [/SUP], Nina K Wenke[SUP] 1 [/SUP], Kevin Yuan[SUP] 1 [/SUP], Josch K Pauling[SUP] 3 [/SUP], Jan Baumbach[SUP] 5 6 [/SUP]
Affiliations
- PMID: 32665542
- DOI: 10.1038/s41467-020-17189-2
Abstract
Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Various studies exist about the molecular mechanisms of viral infection. However, such information is spread across many publications and it is very time-consuming to integrate, and exploit. We develop CoVex, an interactive online platform for SARS-CoV-2 host interactome exploration and drug (target) identification. CoVex integrates virus-human protein interactions, human protein-protein interactions, and drug-target interactions. It allows visual exploration of the virus-host interactome and implements systems medicine algorithms for network-based prediction of drug candidates. Thus, CoVex is a resource to understand molecular mechanisms of pathogenicity and to prioritize candidate therapeutics. We investigate recent hypotheses on a systems biology level to explore mechanistic virus life cycle drivers, and to extract drug repurposing candidates. CoVex renders COVID-19 drug research systems-medicine-ready by giving the scientific community direct access to network medicine algorithms. It is available at https://exbio.wzw.tum.de/covex/.