EMBL‑EBI, Google DeepMind, NVIDIA and Seoul National University released a large set of AI‑predicted structures for millions of protein complexes into the AlphaFold Database. The collaboration delivers computational models of multimeric assemblies at scale, offering structural hypotheses for protein‑protein interactions that have long required laborious experimental effort. The dataset will accelerate target identification, docking studies and mechanistic hypothesis generation across academia and industry, but authors caution that predicted interfaces need experimental validation. Developers say the open resource will cut lead times for structural guidance in drug discovery and biologics engineering by providing starting models for wet‑lab follow‑up.