Helpful, but unless there's an ML/AI form of docking scoring function that's also new the resulting bound conformations are helpful but not really useful for predicting activity. Enough to get started - but can this technology find docked poses for structures or pockets that do not have (high?) similarity to the training set?<p>As has been said somewhat sadly at various conferences, "Scoring functions suck". They can be trained within (close?) families, they can show reasonable poses when enthalpies predominate but non-bonded/grease interactions were and probably still aren't a strength. It's a start until a crystal structure is generated and will help if/when the sar goes to hell and another is required.