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synergistic, resistance-proof infection prevention technologies. Approach and Methods: Select, clone, and purify a library of antibiofilm enzymes (e.g., quorum-quenching oxidoreductases, acylases, lactonases
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: Machine Learning Molecular Dynamics. The project involves the development and application of machine learning methods that enable a major boost of the time and length scales accessible to ab-initio/first
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(SONATA, EP/V028626/1) and brings together expertise in microfluidics, fluid dynamics, nanoparticle engineering, and dental microbiology. Approach and Methods: Engineer in vitro models of bacterial biofilm
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healthcare settings. Approach and Methods: Synthesize gold nanostars with optimised optical and surface properties for enhanced plasmonic signal amplification Engineer LFA architectures incorporating salt
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production and capable of suppressing AMR gene dissemination in clinical and environmental settings. Approach and Methods: Synthetic biology: Construct modular conjugative plasmids with engineered payloads