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Novel AI framework for the discovery of narrow-spectrum antibiotics

Year:
2025
Duration:
24 months
Approved budget:
$150,000.00
Researchers:
Dr Binh Nguyen
,
Dr Lawrence Harris
,
Dr Alan Cameron
Host:
Victoria University of Wellington, Research Trust of
Health issue:
Infectious disease
Proposal type:
Explorer Grant
Lay summary
Antibiotic resistance is a growing threat because existing medicines are becoming less effective against infections. We urgently need new approaches that target harmful bacteria without harming the good bacteria in our bodies. This project will use advanced artificial intelligence (AI) to find new drugs that block a key bacterial enzyme called MqnE, which is important for the survival of several dangerous germs like Helicobacter pylori (a cause of stomach ulcers and cancer). Using AI, we will search for potential drug candidates, make these compounds in the lab, and test them against target bacteria. Our aim is to develop narrow-spectrum antibiotics, which only attack specific bad bacteria and leave the rest of the microbiome healthy. This means fewer side effects, less risk of new resistance, and better outcomes for patients. This research will deliver new tools and value for money by speeding up the discovery of safer, more effective antibiotics.