Table 2. Performance of proposed predictors on alternative datasets.

Dataset	Methoda	Recall	Precision	F1	ACC	MCC	AUC
EF_family	Feature (Str|Seq)	0.503b (0.486)c	0.208 (0.206)	0.292 (0.289)	0.973 (0.974)	0.311 (0.305)	0.937 (0.931)
	Template(Str|Seq)	0.229 (0.200)	0.303 (0.451)	0.260 (0.276)	0.986 (0.989)	0.256 (0.295)	N/A
	Hunter(Str|Seq)	0.489 (0.509)	0.258 (0.226)	0.336 (0.313)	0.979 (0.976)	0.345 (0.328)	0.941 (0.936)
	CRHunter	0.497	0.305	0.376	0.982	0.380	0.949
EF_superfamily	Feature(Str|Seq)	0.509 (0.452)	0.211 (0.193)	0.297 (0.270)	0.973 (0.972)	0.315 (0.283)	0.938 (0.924)
	Template(Str|Seq)	0.032 (0.023)	0.056 (0.149)	0.040 (0.040)	0.983 (0.988)	0.034 (0.054)	N/A
	Hunter(Str|Seq)	0.506 (0.536)	0.189 (0.163)	0.274 (0.250)	0.970 (0.964)	0.296 (0.282)	0.937 (0.925)
	CRHunter	0.523	0.218	0.307	0.974	0.326	0.944
EF_fold	Feature(Str|Seq)	0.448 (0.363)	0.210 (0.182)	0.282 (0.241)	0.971 (0.971)	0.292 (0.243)	0.918 (0.907)
	Template(Str|Seq)	0.017 (0.018)	0.030 (0.124)	0.021 (0.031)	0.981 (0.986)	0.013 (0.042)	N/A
	Hunter(Str|Seq)	0.505 (0.497)	0.178 (0.160)	0.259 (0.241)	0.964 (0.961)	0.283 (0.265)	0.918 (0.907)
	CRHunter	0.504	0.211	0.293	0.970	0.311	0.926
HA_superfamily	Feature(Str|Seq)	0.539 (0.497)	0.198 (0.182)	0.289 (0.266)	0.974 (0.973)	0.316 (0.290)	0.944 (0.933)
	Template(Str|Seq)	0.103 (0.091)	0.150 (0.326)	0.121 (0.141)	0.986 (0.990)	0.117 (0.168)	N/A
	Hunter(Str|Seq)	0.557 (0.556)	0.186 (0.174)	0.278 (0.265)	0.972 (0.970)	0.310 (0.299)	0.944 (0.936)
	CRHunter	0.575	0.233	0.330	0.977	0.356	0.952
NN	Feature(Str|Seq)	0.475 (0.468)	0.207 (0.201)	0.286 (0.280)	0.974 (0.974)	0.301 (0.295)	0.935 (0.932)
	Template(Str|Seq)	0.108 (0.088)	0.141 (0.393)	0.122 (0.139)	0.983 (0.989)	0.115 (0.177)	N/A
	Hunter(Str|Seq)	0.541 (0.543)	0.196 (0.178)	0.285 (0.267)	0.971 (0.968)	0.312 (0.298)	0.939 (0.934)
	CRHunter	0.551	0.243	0.335	0.977	0.354	0.949
PC	Feature(Str|Seq)	0.478 (0.383)	0.214 (0.181)	0.285 (0.242)	0.972 (0.972)	0.302 (0.249)	0.936 (0.923)
	Template(Str|Seq)	0.061 (0.019)	0.088 (0.075)	0.072 (0.030)	0.982 (0.988)	0.064 (0.034)	N/A
	Hunter(Str|Seq)	0.524 (0.469)	0.189 (0.161)	0.274 (0.234)	0.967 (0.964)	0.299 (0.257)	0.937 (0.924)
	CRHunter	0.493	0.231	0.306	0.974	0.321	0.945

^aFeature(Str|Seq) denotes our feature predictor based on structural or sequence information. Template(Str|Seq) denotes our template predictor based on structure or profile alignment. Hunter(Str|Seq) is the combined structural or sequence module. CRHunter is our final prediction algorithm.

^bResults generated by structure-based predictors.

^cResults generated by sequence-based predictors.