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ORNL supercomputer used to identify drug compounds that could help fight coronavirus

Posted at 8:48 am March 5, 2020
By John Huotari Leave a Comment

A compound, shown in gray, was calculated to bind to the SARS-CoV-2 spike protein, shown in cyan, to prevent it from docking to the Human Angiotensin-Converting Enzyme 2, or ACE2, receptor, shown in purple. (Image credit: Micholas Smith/Oak Ridge National Laboratory, U.S. Department of Energy)

Note: This story was last updated at 10:55 a.m.

The Summit supercomputer at Oak Ridge National Laboratory has been used to identify drug compounds, including medications and natural compounds, that could help fight coronavirus, although more study is needed.

“The researchers used Summit, the world’s most powerful and smartest supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight against the SARS-CoV-2 coronavirus, which is responsible for the COVID-19 disease outbreak,” ORNL said in a response to questions Wednesday.

The researchers performed simulations on Summit of more than 8,000 compounds to screen for those that are most likely to bind to the main “spike” protein of the coronavirus, rendering it unable to infect host cells. They ranked compounds of interest that could have value in experimental studies of the virus. They published their results on “ChemRxiv.”

[Read more…]

Filed Under: College, Education, Front Page News, Health, Health, Oak Ridge National Laboratory, ORNL, Slider, U.S. Department of Energy Tagged With: coronavirus, COVID-19, drug compounds, Jeremy C. Smith, Micholas Smith, Oak Ridge National Laboratory, ORNL, S-protein, SARS-CoV-2, summit, supercomputer, UT-ORNL Center for Molecular Biophysics

Supercomputers help ORNL researchers identify molecular switch that controls cell behavior

Posted at 12:39 am December 18, 2013
By Oak Ridge National Laboratory Leave a Comment

E. coli Chemoreceptor Switch

Red and blue molecules represent a conformational switch essential to the signaling mechanism of an E. coli chemoreceptor that researchers discovered using computational molecular dynamics simulations. (Image credit: Davi Ortega)

If scientists can control cellular functions such as movement and development, they can cripple cells and pathogens that are causing disease in the body.

Supported by National Institutes of Health grants, researchers at Oak Ridge National Laboratory, the University of Tennessee, and the UT-ORNL Joint Institute for Computational Sciences discovered a molecular “switch” in a receptor that controls cell behavior using detailed molecular dynamics simulations on a computer called Anton built by D.E. Shaw Research in New York City. To study an even larger signaling complex surrounding the switch, the team is expanding these simulations on Titan—the nation’s most powerful supercomputer, managed by the Oak Ridge Leadership Computing Facility at ORNL.

Researchers identified the molecular switch on Anton (which was designed to perform speedy molecular dynamics simulations) by simulating 140,000 atoms that make up the signaling part of the Tsr chemoreceptor that controls motility in E. coli. Like other receptors, Tsr spans the cell membrane, communicating to proteins inside the cell in order to respond to threats or opportunities in the environment. [Read more…]

Filed Under: Front Page News, Oak Ridge National Laboratory, Science Tagged With: Anton, cell behavior, chemoreceptor, D.E. Shaw Research, Davi Ortega, dimer, E. coli, Igor Zhulin, Jerome Baudry, JICS, John Parkinson, molecular switch, National Institutes of Health, Nature Communications, Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, ORNL, ORNL Computer Science and Mathematics Division, Phe396, phenylalanine amino acids, phenylalanine pairs, receptor, signaling, supercomputer, Titan, Tsr, University of Tennessee, University of Utah, UT Biochemistry and Cellular and Molecular Biology Department, UT Department of Microbiology, UT-ORNL Center for Molecular Biophysics, UT-ORNL Joint Institute for Computational Sciences

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