Using a combination of AI and supercomputing resources, Argonne researchers are examining the dynamics of the SARS-CoV-2 spike protein to determine how it fuses with the human host cell, advancing the search for drug treatments.
An inexpensive monitoring system with 3D-printed parts and low-cost sensors might not last as long as a commercial one, but it can be just as accurate, researchers found.
In a first-time virtual contest, Argonne researchers will challenge hundreds of college students to defend simulated energy-sector infrastructure against cyberattacks.
Argonne computational resources supported the largest comprehensive analysis of COVID-19 genome sequences in the U.S. and helped corroborate growing evidence of a protein mutation.
![Location of amino acid substitutions on the SARS-CoV-2 spike protein. A mutation in the amino acid Gly614 was the result of one protein, aspartic acid (D), mutating to glycine (G) (purple cell), which may have driven COVID-19’s transmissibility rates as it surged through Houston in mid-May. [mage by Jason McLellan, University of Texas, Austin. Published under a Creative Commons license (https://creativecommons.org/licenses/by/4.0/)]](https://www.anl.gov/sites/www/files/styles/article_teaser_16x9/public/2020-11/16x9_mBio%20Spike%20Proteinx.jpg?h=8abcec71&itok=5TE0lm8Z)
