Halicin an Antibiotic That Can Kill Resistant Bacteria Discovered by AI

A long overdue breakthrough

AI allows the scope of drug candidates to be expanded to include molecules that researchers had not previously suspected. The idea has been around for decades, but so far the methods have not been mature enough to find really effective molecules. The researchers trained their model using Escherichia coli bacteria and then researched a library of 6,000 chemical compounds that had the desired properties. The algorithm found a compound with a different structure from existing antibiotics and predicted that it would be effective against many bacteria.

Read Also: Treating Patients With Drug-Resistant Bacterial Infections With Phage Therapy

They named the molecule “Halicin” after the HAL computer in the 2001 “Space Odyssey” film, and then tested it in a laboratory against dozens of bacterial strains taken from patients and cultivated in vitro. Halicin has successfully killed many available antibiotic resistant bacteria, including Clostridium difficile, Acinetobacter baumannii and Mycobacterium tuberculosis. Only Pseudomonas aeruginosa bacteria are resistant to Halicin.

Finally, the new molecule was tested in rats infected with A. baumannii, a bacterium that infected many American soldiers in Iraq and Afghanistan and that is resistant to all existing antibiotics. The rats were cured within 24 hours.

The authors hope their model will help strengthen the entire antibiotic arsenal at a time when antibiotic resistance is a global concern for health authorities. The Organization for Economic Cooperation and Development (OECD) has recently estimated that resistant bacteria could kill 2.4 million people in Europe, North America and Australia by 2050.

References

https://news.mit.edu/2020/artificial-intelligence-identifies-new-antibiotic-0220

https://www.cell.com/cell/fulltext/S0092-8674(20)30102-1

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