Average rank of best RMSD result returned by PF2fit—SE(3) after reranking.

In the initial stage GCCS was used. The figures in brackets denote the rank in the presence of noise at SNR = 1. We see a strong decrease in rank for the skeleton-secondary structure score with and without noise while the mutual information score remains predictable across the range of resolutions. See the section on “Datasets” for a list of PDBs used to generate the synthetic maps used in this experiment. Note that even if the ranks of the best RMSD solution, on average across all experments, show no improvement over Table 1 (mostly because GCCS already does an excellent job of ranking them)- the ranks actually improved for several of the experiments (73/318 for MIS, and 5/318 for MIS). Please see Section ‘The performance of reranking increases with resolution’ for details.