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New pair of techniques can speed up the search for better tuberculosis drugs
The team’s screening assay and machine-learning model identified compound features that predict entry into Mtb and correlate with killing the bacterium.
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New pair of techniques can speed up the search for better tuberculosis drugs
Tuberculosis, caused by the bacterium Mycobacterium tuberculosis (Mtb) is the world's deadliest single-agent caused infection, responsible for 1.23 million deaths in 2024, according to the World Health Organization.
·United States
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AI Tackles Tuberculosis, Identifies Drugs that Penetrate Bacteria Membrane
According to the World Health Organization (WHO), tuberculosis, caused by the bacterium Mycobacterium tuberculosis (Mtb), is the world’s deadliest single-agent caused infection, responsible for 1.23 million deaths in 2024. The bacterium’s outer cell membrane is difficult hard to penetrate, making few drugs effective in treating the disease. In a new study published in Nature Microbiology titled, “Identification of chemical features for improv…
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