Recipient organisationUniversity of YorkSource-published name: University of York
Funding£366K
PeriodMay 2025 — Dec 2027
In plain English
AI plain-English summary
Fungal infections are becoming harder to treat because the drugs that kill them are running out of options. The RAFT project will build roughly 4,000 new metal-containing compounds—transition metal complexes—and test them against drug-resistant fungi. This matters because antifungal resistance is rising due to climate change, overuse of existing drugs, and a thin pipeline of new treatments. Metal compounds have already proven safe and effective in other areas of medicine, with several in clinical use, but they have barely been explored as antifungals. Early evidence shows metal-based molecules hit fungi more often than purely organic ones, without added toxicity. If the project succeeds, it could deliver new classes of antifungal lead compounds ready for preclinical studies. That would directly address a growing healthcare crisis: common fungal infections that are now untreatable. The work combines combinatorial chemistry, machine learning, and automated synthesis to systematically explore a largely ignored chemical space. While the immediate goal is to identify drug candidates, the deeper understanding of how metal complexes kill fungi could also open up entirely new strategies for tackling microbial resistance.
View original technical description
Fuelled by climate change, antifungal overuse, and a limited pipeline of novel drugs, antifungal resistance is a growing worldwide healthcare concern. To address this crisis, innovative approaches are urgently needed. Transition metal complexes have proven to be a promising yet underexplored compound class. It has been shown that they possess significantly higher hit-rates against fungi compared to purely organic molecules without increased risk of toxicity. In other areas of medicine, metal compounds have already proven key and safe for human use with several being used in the clinics and dozens more in clinical development. However, antifungal applications of metal compounds are still in their infancy. The RAFT project will pursue a systematic exploration, development, and understanding of metalloantifungals. Starting from 3 previously identified metal compound classes we will apply combinatorial synthesis, automation, and machine learning to prepare ~4000 novel metal complexes and study their biological properties. The RAFT team brings together expertise in inorganic chemistry, machine learning, antifungal screening, toxicity assessment, fungal mode of action elucidation, and in vivo evaluation. With these key areas covered, RAFT aims to rapidly identify novel metalloantifungal lead compounds, explore their in vivo properties, and elucidate their mechanisms of action. RAFT will constitute the first systematic, medicinal chemistry-focused exploration of metalloantifungals with the potential to identify new classes of antifungals ready to advance to preclinical studies.
Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.
Is something wrong? Let us know