PT  - JOURNAL ARTICLE
AU  - Jun Ding
AU  - Jose Lugo-Martinez
AU  - Ye Yuan
AU  - Darrell N. Kotton
AU  - Ziv Bar-Joseph
TI  - Reconstructing SARS-CoV-2 response signaling and regulatory networks
AID  - 10.1101/2020.06.01.127589
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.06.01.127589
4099  - http://biorxiv.org/content/early/2020/10/13/2020.06.01.127589.short
4100  - http://biorxiv.org/content/early/2020/10/13/2020.06.01.127589.full
AB  - Several molecular datasets have been recently compiled to characterize the activity of SARS-CoV-2 within human cells. Here we extend computational methods to integrate several different types of sequence, functional and interaction data to reconstruct networks and pathways activated by the virus in host cells. We identify the key proteins in these networks and further intersect them with genes differentially expressed at conditions that are known to impact viral activity. Several of the top ranked genes do not directly interact with virus proteins though some were shown to impact other coronaviruses highlighting the importance of large-scale data integration for understanding virus and host activity.Software and interactive visualization: https://github.com/phoenixding/sdremscCompeting Interest StatementThe authors have declared no competing interest.