New antifungal strategies are urgently needed to combat Candida auris, an emerging multidrug-resistant fungal 'superbug' responsible for severe hospital outbreaks and high-mortality infections. Our previous proof-of-concept studies in Candida albicans and Candida glabrata established that fungal BET bromodomains – chromatin-binding modules that recognize acetylated histones – represent promising new antifungal targets. We have developed an advanced set of molecular and cellular tools to accelerate antifungal BET inhibitor discovery, including FRET-based assays for compound screening, humanized Candida strains for on-target validation, and NanoBiT assays to monitor BET bromodomain inhibition directly in fungal cells.

This PhD project represents the translational next phase of our research program. It will exploit the AI-guided V-SYNTHES drug discovery approach – a cutting-edge virtual screening and design framework – to develop highly potent BET inhibitors targeting C. auris. Inhibitors will be profiled in biophysical, biochemical and cellular assays, structurally characterized in complex with their bromodomain targets, and validated for on-target activity in C. auris and antifungal efficacy in animal infection models. They will also be used to explore the emergence of resistance to BET inhibition. This project combines an original antifungal strategy with an innovative methodological approach, offering a unique framework for training in interdisciplinary and translational research.