😷 Nipah Virus Outbreak in India: AI is Already Hunting for a Cure

A new Nipah virus outbreak has been confirmed in India. With a fatality rate of up to 75%, the WHO has long identified Nipah as a potential pandemic threat due to its contagiousness and the total lack of specific vaccines or treatments.

However, researchers made a significant breakthrough in finding a cure last year—thanks to AI.

💉 A Potential Cure for Nipah Virus

The "target" for the drug—a specific site on the RNA-dependent RNA polymerase (RdRp) within the virus's L-protein—has been known for some time. Blocking this segment prevents the virus from replicating its genome. This approach is highly selective because human cells do not possess this enzyme, making it a safe strategy used in treatments for influenza and other infections.

Finding the right "key" for this "target" is the real challenge. Creating a new molecule from scratch and putting it through clinical trials can take up to 10 years.

To bypass this, an international research team used an AI model to screen 2,000 FDA-approved drugs. The deep learning model identified approximately 500 candidates that could potentially bind to the Nipah "target," with further modeling highlighting Cangrelor as the top candidate.

The drug binds to RdRp more effectively than other known substances, preventing the virus from replicating. Notably, Cangrelor was approved by U.S. regulators back in 2015 and is currently used in cardiology.

🧪 However, this is strictly a computational model. The hypothesis must be validated in vitro and in vivo, including safety checks to confirm that side effects—such as an increased bleeding risk—do not prove critical.

@hiaimediaen