Scientists tap the world's most powerful computers in the race to understand and stop the coronavirus

Scanning through billions of chemicals to find a few potential drugs for treating COVID-19 requires computers that harness together thousands of processors.

Jeremy Smith, Governor's Chair, Biophysics, University of Tennessee • conversation
June 3, 2020 ~9 min

Tags: medicine drug-discovery covid-19 coronavirus pandemic molecular-biology antiviral-drugs viruses computational-biology proteins sars-cov2 biophysics drug supercomputers

We found and tested 47 old drugs that might treat the coronavirus: Results show promising leads and a whole new way to fight COVID-19

Researchers at the University of California, San Francisco, identified nine existing drugs that show promise to treat COVID-19. The proteins they target haven't been tried before.

Nevan Krogan, Professor and Director of Quantitative Biosciences Institute & Senior Investigator at the Gladstone Institutes, University of California, San Francisco • conversation
April 30, 2020 ~10 min

Tags: drugs health drug-discovery covid-19 coronavirus rna fda sars-cov-2 viruses hydroxychloroquine cells progesterone treatments anti-virals

COVID-19 treatment might already exist in old drugs – we're using pieces of the coronavirus itself to find them

Among the more than 20,000 drugs approved by the FDA, there may be some that can treat COVID-19. A team at the University of California, San Francisco, is identifying possible candidates.

Nevan Krogan, Professor and Director of Quantitative Biosciences Institute, University of California, San Francisco • conversation
March 20, 2020 ~8 min

Tags:  drugs  drug-discovery  covid-19  coronavirus  fda  sars-cov-2  treatment  disease  antiviral-drugs  viruses  viral-infections  drug-research

Deep learning AI discovers surprising new antibiotics

Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.

Sriram Chandrasekaran, Assistant Professor of Biomedical Engineering, University of Michigan • conversation
Feb. 20, 2020 ~7 min

Tags:  drug-discovery  artificial-intelligence  deep-learning  antibiotic-resistance  antibiotics  drug-resistance  tuberculosis  e-coli

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