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Table 8 Performance of StackDPP and state-of-the-art predictors on independent test sets subsampled from UNIPROT356 to mimic real-world proportion of DNA-BPs

From: StackDPP: a stacking ensemble based DNA-binding protein prediction model

Model

Accuracy

Sensitivity

Specificity

MCC

Precision

F1-score

AUROC

AUPR

DPP-PseAAC

0.85±0.009

0.82±0.137

0.85±0.000

0.42±0.079

0.27±0.035

0.41±0.057

0.84±0.068

0.38±0.093

LocalDPP

0.94±0.007

0.31±0.117

0.98±0.000

0.35±0.120

0.46±0.113

0.37±0.121

0.65±0.059

0.38±0.100

Adelina (Group)

0.88±0.007

0.80±0.112

0.88±0.000

0.45±0.067

0.31±0.031

0.45±0.049

0.84±0.056

0.66±0.145

Adelina (RFE)

0.86±0.006

0.85±0.091

0.86±0.000

0.44±0.052

0.29±0.022

0.43±0.036

0.85±0.045

0.59±0.147

iDNAProt-ES

0.08±0.000

1.00±0.000

0.02±0.000

0.03±0.000

0.06±0.000

0.12±0.000

0.51±0.000

0.15±0.048

StackDPP

0.95±0.006

0.90±0.089

0.96±0.000

0.69±0.056

0.57±0.026

0.70±0.047

0.93±0.045

0.81±0.081

  1. The results are averaged across 20 replicates. The values after ± symbol represent standard deviation