Cell ‘membrane on a chip’ could speed up screening of drug candidates for COVID-19

Researchers have developed a human cell ‘membrane on a chip’ that allows continuous monitoring of how drugs and infectious agents interact with our cells, and

Cambridge University News • cambridge
July 6, 2020 ~6 min

Tags: advanced-materials drug-discovery covid-19 coronavirus

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

Whitehead Institute team resolves structure of master growth regulator

New research reveals how mTORC1 docks at lysosomal surface.

Nicole Davis | Whitehead Institute • mit
Oct. 18, 2019 ~6 min

Tags: drug-discovery biology research school-of-science national-institutes-of-health-nih whitehead-institute

AI learns the language of chemistry to predict how to make medicines

Researchers have designed a machine learning algorithm that predicts the outcome of chemical reactions with much higher accuracy than trained chemists and suggests ways to make complex molecules, removing a significant hurdle in drug discovery.

Cambridge University News • cambridge
Sept. 3, 2019 ~5 min

Tags: advanced-materials physics chemistry drug-discovery artificial-intelligence pharmaceutical

Cause of hardening of the arteries – and potential treatment – identified

A team of UK scientists have identified the mechanism behind hardening of the arteries, and shown in animal studies that a generic medication normally used to treat acne could be an effective treatment for the condition.

Cambridge University News • cambridge
June 11, 2019 ~6 min

Tags: spotlight-on-innovation chemistry health drug-discovery artery medical

New approach to drug discovery could lead to personalised treatment of neuropsychiatric disorders

Researchers have developed a method that could drastically accelerate the search for new drugs to treat mental health disorders such as schizophrenia.

Cambridge University News • cambridge
May 8, 2019 ~4 min

Tags: spotlight-on-neuroscience drug-discovery neuroscience psychiatry schizophrenia

Machine learning algorithm helps in the search for new drugs

Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease. 

Cambridge University News • cambridge
Feb. 11, 2019 ~4 min

Tags:  artificial-intelligence-ai  machine-learning  health  drug-discovery  pharmaceutical  algorithm

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