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the synergistic effects of monoclonal antibodies and colistin. Building on extensive preliminary data, the project aims to uncover the mechanisms behind this synergy using advanced biophysical and molecular
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their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
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) alter resistance mechanisms. Use high-throughput screening and biofilm models to identify conditions that reduce multidrug resistance (MDR). Build a systems-level understanding of how these mechanisms
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challenge in modern medicine: many promising drugs lack effective delivery systems. Hence, this project not only allows the student to make a real-world impact, but also provides, through our strong network
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leveraging acoustic streaming and cavitation effects induced by ultrasound, the system will enhance drug transport and biofilm disruption. This interdisciplinary project builds on prior EPSRC-funded research
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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