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

Table 3

Comparison of performance of the proposed method with other state-of-the-art predictors on the independent dataset.

Method	Accuracy	Sensitivity	Specificity	MCC	auROC
iDNAPro-PseAAC	69.89%	0.7741	0.6237	0.402	0.7754
iDNA-Prot	67.20%	0.6770	0.6670	0.344	—
DNA-Prot	61.80%	0.6990	0.5380	0.240	—
DNABinder	60.80%	0.5700	0.6450	0.216	0.6070
DNABIND	67.70%	0.6670	0.6880	0.355	0.6940
DNA-Threader	59.70%	0.2370	0.9570	0.279	—
DBPPred	76.90%	0.7960	0.7420	0.538	0.7910
iDNA-Protdis	72.00%	0.7950	0.6450	0.445	0.7860
Kmer1 + ACC	70.96%	0.8279	0.5913	0.431	0.7520
Local-DPP	79.00%	0.9250	0.6560	0.625	—
HMMBinder	69.02%	0.6153	0.7634	0.394	0.6324