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Table 5 Comparison performance of the existing models

From: PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features

Method

ACC (%)

SP (%)

SN (%)

MCC

pSumo-CD [23]

72.80

92.10

53.60

0.494

HseSUMO [24]

89.50

89.50

89.50

0.790

Deep-Sumo [25]

96.47

96.25

96.71

0.929

PSSM-Sumo

98.71

99.68

97.72

0.974