Identifying Potential Treatments Using a Data-Driven Approach

Contributors: Lucy Chin, Jordan Cox, Safiya Esmail, Mark Franklin, Diana Le

**With new information being released, the DrugBank team has added an addendum to this previously published article. Download the updated version below.


With the global outbreak of COVID-19 spanning news stations and research labs across the world, the DrugBank team put their heads together to provide an overview of current data-driven approaches to identify potential COVID-19 therapies.

The effects of COVID-19 have reverberated across the globe since late 2019, and have resulted in an influx of new research and data being produced on potential novel candidates to treat the virus. There is a vast amount of research that uses data-driven approaches to identify potential therapies for the virus, and much of the research that has been done has used data from resources like DrugBank. This paper will give an overview of COVID-19, ongoing research, and how data-driven drug repurposing using data from DrugBank is giving life to high-potential investigative treatments for this worldwide outbreak.

Download the full paper here →