HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features

Table 2

Comparison of performance of the proposed method with other state-of-the-art predictors using jack-knife test on the benchmark dataset.

Method	Accuracy	Sensitivity	Specificity	MCC	auROC
iDNAPro-PseAAC	76.76%	0.7562	0.7745	0.53	0.8392
DNABinder (dimension 21)	73.95%	0.6857	0.7909	0.48	0.8140
DNABinder (dimension 400)	73.58%	0.6647	0.8036	0.47	0.8150
DNA-Prot	72.55%	0.8267	0.5976	0.44	0.7890
iDNA-Prot	75.40%	0.8381	0.6473	0.50	0.7610
iDNA-Protdis	77.30%	0.7940	0.7527	0.54	0.8310
PseDNA-Pro	76.55%	0.7961	0.7363	0.53	—
Kmer1 + ACC	75.23%	0.7676	0.7376	0.50	0.8280
Local-DPP	79.20%	0.8400	0.7450	0.59	—
HMMBinder	86.33%	0.8707	0.8555	0.72	0.9026