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![An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-06/frame1.png?h=d1cb525d&itok=51pwBWyP)
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
![Neutron scattering experiments show electric charges, shown in red, blue and grey, in the SARS-CoV-2 main protease site where telaprevir binds to the structure. The experiments provide critical data for the design of small-molecule drugs to treat COVID-19. Credit: Jill Hemman and Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-03/after_transprent_background-wFill.png?h=c71d0c67&itok=jGFt_Ggj)
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.
![2018-P07635 BL-6 user - Univ of Guelph-6004R_sm[2].jpg 2018-P07635 BL-6 user - Univ of Guelph-6004R_sm[2].jpg](/sites/default/files/styles/list_page_thumbnail/public/2018-P07635%20BL-6%20user%20-%20Univ%20of%20Guelph-6004R_sm%5B2%5D.jpg?itok=DUdZNt_q)
A team of scientists, led by University of Guelph professor John Dutcher, are using neutrons at ORNL’s Spallation Neutron Source to unlock the secrets of natural nanoparticles that could be used to improve medicines.