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Science & Technology
How Artificial Intelligence Is Helping Researchers Outwit the Monkeypox Virus
2025-12-29
[News Medical Life Sciences] In what has been labeled as a major scientific breakthrough, researchers have used artificial intelligence (AI) to identify a weakness in the monkeypox virus (MPXV) that may transform future vaccines and treatment protocols. The team of researchers, which included several students from the University of Texas at Austin, used the latest AI models to predict which specific viral proteins antibodies are most likely to bind. More specifically, they labeled OPG153 as the protein that could be considered a monkeypox weak spot. This discovery opens the door to a new target for vaccines and antibody therapies that could be simpler and cheaper to produce than existing options.
OR the gheys could quit having unprotected booty s3x
Monkeypox, often referred to as mpox, became a global health concern in 2022. While the virus had always been a localized illness, impacting a very small portion of the population, the 2022 surge saw people around the world experience painful rashes, fever, and swollen lymph nodes. Although existing smallpox vaccines have been repurposed to protect high-risk individuals, they are difficult to manufacture and carry certain risks. The latest AI-assisted research aims to build a new generation of vaccines that are more accessible, targeted, and safer.

Even if you’ve never experienced a bout of monkeypox, this AI vaccine discovery has the potential to reshape how illnesses are treated.

HOW AI PINPOINTED A VIRAL WEAKNESS
For years, vaccine research has focused on scientists spending countless hours conducting laborious studies to identify viral components that elicit strong immune responses. When searching for a monkeypox weak spot, researchers started by isolating a group of antibodies from people who had survived the virus or been vaccinated with the mpox vaccine. However, they didn’t know which of the dozens of viral surface proteins these antibodies recognized.

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