Targets from the RNA-puzzles dataset.

aX = X-Ray crystallography, bE = Cryo-electron microscopy. Most of these targets were published before the publications of the ML-base methods so it’s highly possible that these are part of the training data of those tools. This will make this dataset the easiest dataset for prediction and the reported performance of most methods might be overinflated on this dataset. Also, 35 out of the 36 targets are X-ray crystallography structures which are known to be more accurate and have better resolution, so the comparison of the predicted model with these native crystallographic structures is more accurate. The puzzle pz34, pz37 and pz38 have been published recently so these targets should be comparatively more challenging for our benchmarking methods.