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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large
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. This project will use large-scale metagenomic mining to uncover novel phage-host associations and identify phage-encoded enzymes, such as endolysins, with antibacterial activity. By integrating evolutionary
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annually, with life-threatening consequences for immunocompromised individuals. With few antifungal drugs available and resistance on the rise, this project explores a novel strategy: engineering the fungal
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Supervisors: Prof. Jeremy Brown Prof. Bart Hoogenboom Abstract This project explores a novel therapeutic strategy for Acinetobacter baumannii, a top-priority AMR pathogen, by investigating
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implant failure and limb amputation. Current antimicrobial coatings often rely on antibiotics or metallic agents, which may contribute to antimicrobial resistance (AMR) or cytotoxicity. This project aims
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and a disulfide-rich knob mini-domain, enabling high stability and independent folding. Despite their promise, the structural and functional diversity of UL-CDRs remains largely unexplored. This project
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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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challenging. This project aims to develop an ultrasound-assisted nanoparticle-based drug delivery system for targeted, controlled release of antimicrobials within these hard-to-reach oral microenvironments. By
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Jochen Blumberger at the Condensed Matter and Materials Physics Laboratory, University College London, UK. Interested candidates may want to work on one of the following two projects. Project 1
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. This project aims to develop novel polymer-based nanoparticles for the non-viral delivery of mRNA vaccines directly to mucosal tissues, such as the respiratory tract. By leveraging high-throughput automated