UCF Scientist Using AI To Speed Up Tuberculosis Drug Discovery

UCF Scientist Using AI To Speed Up Tuberculosis Drug Discovery

Publication date: Jun 27, 2024

Atomwise contacted Rohde and researchers across 30 countries worldwide to participate in using an artificial intelligence molecular screen (AIMS) to find new effective TB drugs. AI can hasten scientific research by quickly testing potentially millions of drugs against a disease model. Testing 100 drugs versus millions will undoubtably accelerate our research, saving a lot of time and money. ” For those reasons, scientists like Rohde are looking for ways to speed up discovery of drugs to better tuberculosis. -If successful, the use of AI-based virtual drug screening could revolutionize the challenging task of discovering new antibiotics,” he says. Using this tool, Atomwise screened 2. 5 million commercially available compounds to identify potential new antibiotics for TB. -It has the potential to really accelerate the development of affordable new treatment options for global health problems like TB. “

Concepts Keywords
Biotech Accelerate
Speeding Artificial
Tuberculosis Atomwise
Website Compounds
Drug
Drugs
Find
Potential
Rohde
Says
Speed
Tb
Testing
Tuberculosis
Ucf

Semantics

Type Source Name
drug DRUGBANK Medical air
disease MESH infections
drug DRUGBANK Tropicamide
pathway KEGG Tuberculosis
disease MESH Tuberculosis

Original Article

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