Table 4. Performance of state-of-the-art methods in sumoylation site predictions.

State-of-the-art	Sn	Sp	ACC	Precision	MCC
iSumok-PseAAC	0.9451	0.9424	0.9479	0.9714	0.8903
Sumogo[16]	0.592	0.896	0.744	0.850	0.511
C-iSumo [109]	0.734	0.757	0.746	–	0.494
GPS-L[1]	0.668	0.810	0.739	0.778	0.482
GPS-M[1]	0.642	0.833	0.738	0.794	0.484
GPS-H[1]	0.540	0.897	0.719	0.840	0.468
SUMOsp2.0_L[13]	0.709	0.750	0.730	0.739	0.460
SUMOsp2.0_M[13]	0.655	0.823	0.739	0.787	0.485
SUMOsp2.0_H[13]	0.608	0.873	0.740	0.827	0.498
JASSA[2]	0.654	0.808	0.731	0.773	0.467
PCI-SUMO[5]	0.687	0.530	0.609	0.594	0.220