AlphaFold and the protein universe — full structural coverage

Hassabis's blog announcing the expansion of the AlphaFold Protein Structure Database to over 200 million entries — essentially the full UniProt catalogue. He frames this as mapping the 'protein universe' in the same way that telescopes mapped the physical universe: an infrastructure achievement that enables an entirely new class of scientific questions. Before AlphaFold, structure determination was the bottleneck in biology. After AlphaFold, the bottleneck shifts downstream — to understanding what proteins do (functional annotation), how they interact in complexes, and how mutations change their shape and function. The post also addresses the question of prediction errors: Hassabis explains that AlphaFold provides confidence estimates (pLDDT scores) for each predicted region, allowing researchers to identify where predictions are reliable versus where experimental validation remains necessary. He argues that even low-confidence regions are scientifically informative — they typically indicate intrinsically disordered regions, which are often functional. The expansion to the full protein universe was made possible by collaboration with EMBL-EBI, demonstrating the open-science model that Hassabis consistently advocates.