Scientists recently tasked the world’s fastest supercomputer with running thousands of simulations to find drug compounds that could fight the coronavirus.

Now, CNN reports, the IBM supercomputer — called “Summit” and housed at the Oak Ridge National Laboratory in Tennessee — has identified 77 treatments that may be able to stop COVID-19 dead in its tracks.

The research, detailed a paper uploaded to the preprint server ChemRxiv, could even help researchers develop a vaccine for the deadly virus — but so far, it’s only an important first step.

“Our results don’t mean that we have found a cure or treatment for the coronavirus,” said Jeremy Smith, director of the Oak Ridge National Laboratory Center for Molecular Biophysics, in a statement.

“We are very hopeful, though, that our computational findings will both inform future studies and provide a framework that experimentalists will use to further investigate these compounds,” he added.

The massive supercomputer was tasked with finding compounds that could bind to the “spike protein” or “S-protein” of the virus that it uses to infect host cells. By rendering the protein ineffective, the virus would be inhibited from spreading.

Using previously-created models of the coronavirus spike, the researchers simulated how particles in the viral protein would react to different drug compounds.

The team cut down the list from 77 to the top seven most promising candidates to treat the SARS-CoV-2 virus.

“Given the results from both sets of docking calculations, our work suggests that at least the seven compounds identified here would be reasonable initial compounds for experimental investigations in limiting SARS-CoV-2’s virus-host interactions,” reads the paper.

Next, the team is planning to run another simulation using a highly accurate spike protein model first identified in a study published last week by a different team of researchers.