It takes a tremendous amount of computing power to simulate all the components and behaviors of viruses and cells.
Copyright: Thomas Splettstoesser scistyle.com
Scanning through billions of chemicals to find a few potential drugs for treating COVID-19 requires computers that harness together thousands of processors.
Testing in cells is an important and exciting first step.
elkor/E+ via Getty Images
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.
There are 20,000 FDA approved drugs. One of them might fight COVID-19, if we can find it.
Peter Dazeley/The Image Bank via Getty Images
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.
A colored electron microscope image of MRSA.
NIH - NIAID/flickr
Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.
Drug discovery can get an assist from what nature’s already devised.
As antibiotic resistance increases globally, the heat is on to find new alternatives to treat infections. Chemists can get a head start by looking at compounds produced in nature by fishes' microbes.
The concept of a shared inheritable risk underlying mental illnesses could lead to a new paradigm shift in drug discovery,
Mental health is impacted by both genetic and environmental factors. But new research reveals that many mental health disorders may flow from early disturbances in fetal development.
Around 18% of previously treated TB cases are drug resistant.
Using a large number of computers to screen TB drugs reduces the cost and time.
Alzheimer’s disease is the most common form of dementia.
People with Down syndrome are at much higher risk of dementia than the general population. Knowing when cognitive changes start is critical for developing new drugs.
Miniature biomanufacturing kits like this prototype could revolutionize the pharmaceutical industry.
Small-batch brewers are starting to tinker with biologic drugs to meet their own medical needs. A side effect of their success would be a disruption to how big pharma makes and distributes drugs.
People have to pass road tests – so should self-driving cars.
There's a common, popular and well-studied method to ensure new technologies are safe and effective for public use – even if researchers don't fully understand how they work.
High-tech ways to scan nature’s own creations.
Pharmaceutical companies focus on small molecules they've devised – and can easily patent. But nature's already come up with many antibacterial compounds that drug designers could use to make medicines.
Will blue packets replace pink ones soon?
Medicinal chemists are tweaking a natural molecule that can be a deadly poison – a modified version might work as a nonhormonal male contraceptive.
Moving a robot is like manipulating a molecule.
Researchers use an algorithm designed to help robots move to figure out what's possible when designing new molecules in a promising class of pharmaceuticals.
Have our hopes of a drug treatment for dementia been dashed by drug company Pfizer giving up on research efforts?
Because we're still not sure exactly what causes dementia, finding a treatment is difficult.
What can mating yeast tell us about new drugs?
By exploiting the way yeast cells mate, researchers have figured out a quicker, easier way to identify on- and off-target drug interactions.
The cells inside this bioreactor are the real pharmaceutical factories.
Rather than being designed by chemists, this class of pharmaceuticals is produced by living cells. Here's where they come from and how they work.
Simpler animal models can give researchers a much clearer picture of human diseases.
By working in real time together, we can create something robust and inexpensive in a short time frame.
With the right investment, an open source drug discovery system might compete with the traditional pharmaceutical industry to deliver the drugs we need.
Dividing breast cancer cell.
Understanding how cell signalling goes wrong could lead to the development of precision cancer treatments.