---
title: "World’s Fastest Supercomputer Finds 77 Potential COVID-19 Treatments"
description: "IBM's Summit supercomputer at the Oak Ridge National Laboratory in Tennessee has identified 77 drug compounds that could stop the coronavirus."
date: "2020-03-20"
modified: "2020-03-24"
authors:
  - name: "Victor Tangermann"
    job_title: "Senior Editor"
    link: "https://futurism.com/authors/victor"
url: "https://futurism.com/neoscope/fastest-supercomputer-finds-potential-covid-treatments"
categories:
  - "Developments"
  - "Health & Medicine"
  - "Medical"
  - "Treatments"
tags:
  - "coronavirus"
  - "covid-19"
  - "supercomputer"
  - "virus"
---

# World’s Fastest Supercomputer Finds 77 Potential COVID-19 Treatments

![IBM's Summit supercomputer at the Oak Ridge National Laboratory in Tennessee has identified 77 drug compounds that could stop the coronavirus.](<https://futurism.com/wp-content/uploads/2020/03/fastest-supercomputer-finds-potential-treatments.jpg>)
*\<em\>Image: Carlos Jones/ORNL\</em\>*

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](<https://www.cnn.com/2020/03/19/us/fastest-supercomputer-coronavirus-scn-trnd/index.html>), 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 in [a paper](<https://chemrxiv.org/articles/Repurposing_Therapeutics_for_the_Wuhan_Coronavirus_nCov-2019_Supercomputer-Based_Docking_to_the_Viral_S_Protein_and_Human_ACE2_Interface/11871402/3>) uploaded to the preprint server *ChemRxiv*, could help researchers develop a drug to treat 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](<https://www.olcf.ornl.gov/2020/03/05/ornl-team-enlists-worlds-fastest-supercomputer-to-combat-the-coronavirus/>).

"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](<https://science.sciencemag.org/content/367/6483/1260.full>) published last week by a different team of researchers.

*Editor's note 3/24/2020: This story originally suggested, based on CNN's reporting, that the Summit supercomputer's findings could be used to develop a vaccine. CNN has corrected its reporting to say that it may find new treatments, not a vaccine. We have updated our story to reflect that change.*

## Author
I've been at Futurism since 2017, where my role has evolved to encompass design, writing, and increasingly editing. I've always been fascinated by space exploration and advanced transportation, which I've leaned into by interviewing luminaries in those fields while closely following the dimensions of policy and regulation that allow next-generation projects to succeed -- or, sometimes, to fail. I'm also keenly interested in the effects of generative AI on society, policies, and democratic institutions, as well as clean energy, physics and biology, and the vagaries of tech leadership. My work for Futurism has been cited by publications including Ars Technica, Gizmodo, PC Magazine, Jalopnik, Fox News, and the New York Post. I spent my childhood living in locations including Manila, the Philippines, and Geneva, Switzerland, attended McGill University, and now live in Toronto, Canada. Before Futurism I worked at AskMen and a small photography studio. In my free time, I'm an avid gardener, foodie, and craft beer lover, as well as a maker of artisanal hot pepper sauces. I have a magnificent dog named Freida.

### Author social links  
[Bluesky](<https://bsky.app/profile/vtanger.bsky.social>)