FEB 21, 2020 8:33 AM PST

New Antibiotics Found Using AI Technology

WRITTEN BY: Annie Lennon

Using AI, researchers at MIT have found a powerful new antibiotic capable of killing some of the most dangerous drug-resistant bacteria known to man. 

Current methods for identifying antibiotics are both extremely costly, take a lot of time, and are typically limited to a narrow range of chemical diversity. To resolve this issue, researchers at MIT developed a machine-learning computer model capable of examining molecular structures of compounds to see whether they may be able to kill certain bacteria. 

To do this, they first trained a deep learning algorithm to recognize different types of molecules that kill bacteria by feeding it information on the atomic and molecular characteristics of almost 2,500 drugs and natural compounds. Alongside this, they added data on how well or not each substance prevented the growth of E coli. Bacteria. 

Following this, the scientists then used the algorithm to analyze over 6,000 compounds currently under investigation for treating various human diseases. Instead of looking for potential antimicrobials however, they instead focused the algorithm to find compounds that seemed effective, but did not resemble current antibiotics. In doing so, they wanted to find drug candidates capable of counteracting antibiotic resistance. 

Within just a few hours, the algorithm managed to find a promising antibiotic candidate: halicin, named after Hal, the astronaut-bothering AI in the 2001: A Space Odyssey. Testing the molecule on mice, the researchers noticed that it effectively ousted the gastrointestinal bug Clostridium difficile (C. diff), often the cause of fatal infections among hospitalized patients, as well as another antibiotic resistant bug, called Acinetobacter baumannii, known to cause infections in the blood, urinary tract and lungs. 

More than this, the scientists also tested halicin on bacteria collected from patients. In doing so, they found it also worked against Mycobacterium tuberculosis, the bacteria behind TB, and strains of Enterobacteriaceae, often responsible for diarrhoeal diseases. 

After this, the researchers set the algorithm on 107 million compounds from a database of 1.5 billion. WIthin three days, it managed to shortlist 23 potential antibiotics, from which two appear to be particularly useful. 

Now intending to search more of the database for possible drug candidates, the researchers hope they can find antibiotics that are more selective in the bacteria they kill; only killing infectious bugs, as opposed to healthy bacteria that live in the gut too. More than this, the researchers also hope that such computer models may soon be used to design new antibiotics from scratch. 

 


Sources: The Guardian, MIT News and The Conversation 

 

About the Author
University College London
Annie Lennon is a writer whose work also appears in Medical News Today, Psych Central, Psychology Today, and other outlets. When she's not writing, she is COO of Xeurix, an HR startup that assesses jobfit from gamified workplace simulations.
You May Also Like
MAY 11, 2022
Drug Discovery & Development
Gene Therapy Shows Promise for Neuropathic Pain
MAY 11, 2022
Gene Therapy Shows Promise for Neuropathic Pain
A gene therapy has been able to inhibit neuropathic pain with no detectable side effects in mice with spinal cord and pe ...
MAY 25, 2022
Neuroscience
Exploring Drug Targets in Neurodegenerative Diseases
MAY 25, 2022
Exploring Drug Targets in Neurodegenerative Diseases
Introduction Life expectancy has increased globally over the last several decades. However, longer life expectancy comes ...
MAY 23, 2022
Drug Discovery & Development
A Possible Therapy for Infantile Spasms
MAY 23, 2022
A Possible Therapy for Infantile Spasms
Researchers at Texas Children’s Hospital have identified a possible cause of infantile spasms (IS) as well as a po ...
JUN 04, 2022
Drug Discovery & Development
3g of Omega-3 Fatty Acids Daily May Lower Blood Pressure
JUN 04, 2022
3g of Omega-3 Fatty Acids Daily May Lower Blood Pressure
Around 3g of omega-3 fatty acids taken on a daily basis may be the optimal dose for lowering blood pressure. The corresp ...
JUN 09, 2022
Cardiology
Supplements and Heart Health
JUN 09, 2022
Supplements and Heart Health
There is little evidence that supplements actually improve heart health.
JUN 10, 2022
Drug Discovery & Development
The consequences of inappropriate antibiotic prescriptions in children
JUN 10, 2022
The consequences of inappropriate antibiotic prescriptions in children
The discovery of antibiotics in the early 1900’s was one of the most important discoveries in medical history. The ...
Loading Comments...