Coronavirus Deep Learning Competition by Sage Health

Find a candidate drug (ligand) with a high binding affinity with the 2019-COVID main protease. A few studies have shown that HIV antivirals offer promising results, but this is still an open field of discovery. Use machine learning to identify a potential candidate, then use docking software to get the binding affinity between it and the main protease. Write a report that describes your process and results in detail in the form of a jupyter notebook. Finding a new drug or validating an existing drug are both suitable approaches, we will be donating samples of the winning compound to the Wuhan Institute of Virology for further analysis.

Submission Format:
Report your results in a Jupyter notebook. Ensure clear process details and documentation.

$3,500 total

  • 1st place: $1000 cash + $500 JetML cloud Credits + Youtube video collaboration with Siraj Raval

  • 2nd place: $1000 JetML cloud credits

  • 3rd place: $1000 JetML cloud credits

Start Date:
Feb 17 2020

End Date:
March 2 2020

Judging Criteria:
The competition is judged based on reproducibility, documentation quality, and the antiviral feasibility of your candidate molecule

Register Here