Protein structure prediction is poised to transform viral research and pandemic preparedness, enabling identification of conserved structural motifs for function prediction, mapping host–virus protein interactions, and discovering antiviral and vaccine targets .In 2024, the WHO listed the viruses most likely to spark the next pandemic, emphasising that “the comprehension of viral structures, infection mechanisms, immune responses, and host interactions is crucial in informing the development of medical interventions.” major gap in pandemic laboratory preparedness is the lack of a scalable, user-friendly platform for exploring viral protein structure and function. Most viral proteins remain unannotated due to rapid evolution and scarce homologues. This project will deliver HOT-VAD (High Outbreak Threat Viral AlphaFold Database), an integrated computational resource providing high-confidence 3D structures, function predictions and variability profiles for proteins from diverse high-risk viruses. HOT-VAD will uniquely include viral oligomer predictions and viral-human co-folds, revealing interaction interfaces critical for host manipulation and immune evasion. Building on the Atkinson lab’s Viral AlphaFold Database (VAD) HOT-VAD will support surveillance, risk assessment, and countermeasure design by enabling discovery of conserved folds, host interactions, and drug/vaccine candidates. The platform will be freely accessible to both expert and non-expert users. The integration of diverse data will produce a resource unavailable elsewhere, advancing both fundamental virology and applied pandemic response.