Table 7.

Comparison of the performance of FRnet-Predict on the four benchmark gold datasets from [8] in terms of auPR with other the state-of-the-art methods.

Predictor	enzymes	GPCRs	Ion channels	Nuclear receptors
Mousavian et al. [7]	0.54	0.39	0.28	0.41
iDTI-ESBoost [8]	0.68	0.48	0.48	0.79
CFSBoost [9]	0.68	0.54	0.50	0.73
Ezzat et al. [59]	0.41	0.42	0.36	0.57
FRnet-Predict	0.70	0.69	0.49	0.73