Cool stuff, but more likely useful as a primary filter or search tool rather than for detailed understanding of protein structure and function. See this quote:

> "Sergey Ovchinnikov, an evolutionary biologist at Harvard University in Cambridge, Massachusetts, wonders about the hundreds of millions of predictions that ESMFold made with low-confidence. Some might lack a defined structure, at least in isolation, whereas others might be non-coding DNA mistaken as a protein-coding material."

Understanding of how these proteins function requires high-resolution information about bond angles and atom-atom distances, particularly for non-structural proteins (i.e. interesting catalytic enzymes). Hence, wet-lab work and protein structure characterization via X-ray and NMR methods aren't going anywhere.