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Research Highlight | Center for Nanoscale Materials

Screening therapeutic agents for COVID-19 using AI

In a study published in the Journal of Physical Chemistry Letters, researchers using artificial intelligence identified 175 drugs as potential therapeutics against COVID-19.

Scientific Achievement

75 FDA-approved and 100 other drugs were identified as potential therapeutics against COVID-19 using AI and ensemble docking studies. Promising chemical fragments and molecular descriptors were also found.

Significance and Impact

Screened drug candidates and identified chemical trends can guide future experiments against COVID-19. The general screening pathway of combining AI with theoretical/experimental techniques has potential for several chemical & materials problems.

Research Details

  • Machine learning (decision trees) was used to predict binding affinity of ligands to the virus and the virus-host interface.
  • Screened candidate ligands from several drug datasets were validated using expensive docking studies.
  • Center for Nanoscale Materials (CNM) Carbon HPC, the ALCF, and NERSC were used.

Work was performed in part at CNM.

DOI10.1021/acs.jpclett.0c02278

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About Argonne’s Center for Nanoscale Materials
The Center for Nanoscale Materials is one of the five DOE Nanoscale Science Research Centers, premier national user facilities for interdisciplinary research at the nanoscale supported by the DOE Office of Science. Together the NSRCs comprise a suite of complementary facilities that provide researchers with state-of-the-art capabilities to fabricate, process, characterize and model nanoscale materials, and constitute the largest infrastructure investment of the National Nanotechnology Initiative. The NSRCs are located at DOE’s Argonne, Brookhaven, Lawrence Berkeley, Oak Ridge, Sandia and Los Alamos National Laboratories. For more information about the DOE NSRCs, please visit https://​sci​ence​.osti​.gov/​U​s​e​r​-​F​a​c​i​l​i​t​i​e​s​/​U​s​e​r​-​F​a​c​i​l​i​t​i​e​s​-​a​t​-​a​-​G​lance.

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