A team of our bioinformatics experts performed a COVID-19 study with the aim of gaining new therapeutic insights and identifying potential drug targets for COVID-19. To share our findings with the scientific community, we have made the results freely available via our inBio Discover™ platform.
On the project site you can read about our findings and approach to network analysis, or proceed to explore the regulated biological networks on your own.
Highlights from our work
To gain new therapeutic insights and identify potential drug targets for COVID-19, we used a network approach based on physical protein-protein interactions (inBio Map™) to find biological systems regulated as a whole in response to SARS-CoV-2 infection.
- We use gene expression data from SARS-CoV-2 -infected human cells to perform network-level analysis of the host transcriptional response.
- We find biological networks that as a whole are more regulated than what should be expected from the transcriptome background, even if individual members of the network are not strongly regulated.
- We point to molecular mechanisms being affected by the virus infection, that are not immediately obvious from investigating individually significantly regulated genes.
- We identify drug target candidates in the networks (6 targets with approved drugs and 29 with drugs in clinical trials). Our network-based approach identifies more than two times the number of drug targets candidates compared to the Blanco-Melo et al. list of differentially expressed genes.
Get in touch with us to learn more about these results and algorithms, and how Intomics can help you advance your biomedical or COVID-19 research.