Table 5.

Performance evaluation of each SUMOylation prediction tools.

	Sn	Sp	Acc	Precision	MCC
SUMOgo	0.592	0.896	0.744	0.850	0.511
GPS-L	0.668	0.810	0.739	0.778	0.482
GPS-M	0.642	0.833	0.738	0.794	0.484
GPS-H	0.540	0.897	0.719	0.840	0.468
SUMOsp2.0_L	0.709	0.750	0.730	0.739	0.460
SUMOsp2.0_M	0.655	0.823	0.739	0.787	0.485
SUMOsp2.0_H	0.608	0.873	0.740	0.827	0.498
JASSA	0.654	0.808	0.731	0.773	0.467
PCI-SUMO	0.687	0.530	0.609	0.594	0.220