RBFE networks generated by LOMAP using LOMAP-Score or RBFENN as edge similarity metrics were compared for the entire public RBFE benchmark set (table ). RBFE networks for the TYK2 series show the the highest degree of overlap (55%) between the two methodologies. Across the dataset overlaps range from 11% to 47% with an average value of 32%. Some overlap between the methodologies is expected since both input metrics succeed at modelling the SF to some degree which results in similar assumptions in generating either network. One series of note is Thrombin (n=11) which shows 0% overlap. As the compounds in this series are structurally highly similar it is plausible that a large fraction of possible networks minimise equally well statistical fluctuations. However due to the low number of compounds in the series (n=8) it is difficult to make statistically-sound comparisons of networks performance. . Because of LOMAP's cluster minimisation and connection algorithm there is typically some variance (± 3-4 edges) in the number of edges selected for a congeneric series of N ligands . We observe in general a relationship of n edges ≈ 1.4 • N ligands .