CirBiTree: Citrullination Site Inference Based on a Fuzzy Neural Network and Flexible Neural Tree

Table 4

The performances of different methods in length 17.

Method	Sn (%)	Sp (%)	F1	MCC
DNABIND [34]	69.45	68.59	0.6915	0.3804
DNAbinder [34]	69.23	73.05	0.7058	0.4231
DBD-Threader [35]	56.88	92.74	0.6931	0.5316
DNA-Prot [35]	66.65	78.75	0.7094	0.4574
iDNA-Prot [36]	75.46	74.53	0.7511	0.5000
DBPPred [37]	78.66	73.34	0.7662	0.5208
PLMLA [38]	65.62	69.51	0.6692	0.3516
Phosida [39]	78.42	84.77	0.8099	0.6331
LysAcet [40]	77.17	73.76	0.7587	0.5095
EnsemblePail [41]	76.22	70.21	0.7400	0.4652
PSKAcePred [42]	70.87	67.44	0.6968	0.3833
BRABSB [43]	80.03	71.94	0.7692	0.5214
SSPKA [44]	75.49	78.09	0.7649	0.5360
Proposed algorithm	80.09	78.86	0.7960	0.5896