LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree

Table 2

The Performances of Different Methods.

Method	Sn(%)	Sp(%)	Acc(%)	F1	MCC
DNABIND [46]	69.78	70.97	70.38	0.7020	0.4075
DNAbinder [46]	69.89	73.79	71.84	0.7128	0.4371
DBD-Threader [47]	57.79	94.71	76.25	0.7087	0.5649
DNA-Prot [47]	67.81	80.71	74.26	0.7249	0.4893
iDNA-Prot [48]	76.71	75.52	76.12	0.7626	0.5223
DBPPred [49]	79.37	74.82	77.10	0.7760	0.5425
PLMLA [50]	65.80	69.71	67.76	0.6711	0.3554
Phosida [51]	78.61	84.91	81.76	0.8117	0.6365
LysAcet [52]	77.50	75.14	76.32	0.7660	0.5265
EnsemblePail [53]	77.31	72.24	74.78	0.7540	0.4961
PSKAcePred [54]	71.20	69.87	70.54	0.7073	0.4107
BRABSB [55]	81.09	72.28	76.65	0.7762	0.5349
SSPKA [56]	75.81	79.57	77.69	0.7726	0.5542
SMOTE [57]	80.91	79.18	80.05	0.8022	0.6010
Proposed Algorithm	81.07	80.29	80.68	0.8076	0.6136