I'm confused.
"Template-based modelling, however, only works if there is another well-known protein that is comparable. If there isn’t, developers have to turn to free modelling to construct formations from scratch. This is where DeepMind's neural-network software comes in, and generates new structures from a given set of amino acids, and is scored on its accuracy."
If there is no template, and the protein hasn't been X-Rayed, etc. how do you score its accuracy? Did I miss something in the article?