Researchers at the San Diego Supercomputer Center have identified several existing drugs that might work as treatments for COVID-19, including some vitamins and supplements that are available ...

IBM’s Summit supercomputer identified 77 drug compounds that could stop the coronavirus spike from infecting host cells. This could help scientists create the most effective vaccine.

Researchers Use Supercomputer in Search for COVID-19 Cure Similar supercomputers have been used in drug discovery in the past by modeling how a given compound might affect viruses. May 07, 2020 • ...

IBM Summit found 77 drug compounds in just a couple of days, which researchers say 'would have taken months on a normal computer' Jump to content. US Edition Change.

Professor Peter Coveney, of UCL, agreed that the consortium's supercomputer plan could speed up the hunt for viable COVID-19 treatments. Or, at the very least, flag some promising drugs.

Cisneros and several volunteers from his laboratory submitted a proposal to the COVID-19 HPC Consortium on March 25, and 4 days later, they received time on several supercomputers, including Oak ...

A national laboratory supercomputer used to model neutron star collisions now is peering into inner space to explore potential vulnerabilities in COVID-19. The Summit supercomputer at Oak Ridge ...

With Covid-19, those data have some serious limitations, because so much about the virus — such as its rate of transmission among the college-aged population — is not yet fully known ...

Pattern Computer’s ProSpectral device for detecting COVID-19. (Pattern Computer Photo) A Seattle-area startup called Pattern Computer is developing a rapid COVID-19 test based on patterns in ...

Thanks to the calculations of a supercomputer in Tennessee, researchers may have a better understanding of why Covid-19 - caused by the coronavirus - takes such a severe toll on the human body ...

The fight against coronavirus is getting support from 16 supercomputers thanks to a consortium of agencies and companies including Amazon, Google, and NASA.