September Update: OpenPandemics - COVID-19


The research team is working on analyzing the large amount of data generated from the stress test earlier this year, while also sending additional compounds to collaborators for lab testing.



Background

OpenPandemics - COVID-19 was created to help accelerate the search for potential COVID-19 treatments. The project also aims to build a fast-response, open source toolkit that can help all scientists quickly search for treatments in the event of future pandemics. 

In late 2020, the researchers announced that they had selected 70 compounds (from an original group of approximately 20,000) that could be promising to be investigated as potential inhibitors of the virus that causes COVID-19. Lab testing is ongoing for 25 of these compounds.

Additional compounds sent for lab testing

For the past few months, the research team has been preparing to send a second set of compounds for lab testing as potential treatments for COVID-19. They have now sent an additional group of approximately 170 compounds for testing by collaborators.

Ongoing data analysis

The researchers are continuing to analyze the large amount of data generated during the stress test earlier this year, which docked about 300 million small molecules against one of many possible binding sites. They anticipate that analyzing this data will take several more months.

Variability in size of work units

Recently, the research team sent us a number of work units that were much larger in size than previous work for this project. These larger work units were valid (as the scientists were looking at molecules of varying sizes). They don't anticipate sending us any larger work units in the near future.

Current status of work units

CPU

  • Available for download: 4,328 batches
  • 28-day average of 79 batches per day
  • Estimated backlog: 54.1 days

GPU

  • Available for download: 4,080 batches
  • 28-day average of 266 batches per day
  • Estimated backlog: 13.2 days
                        
     

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