|
Method
|
Acc
|
AUROC
|
AUCPR
|
Kappa
|
Sen
|
Spe
|
MCC
|
References
|
|---|
|
iAMP-2L
|
65.4%
|
–
|
–
|
0.318
|
82.9%
|
47.9%
|
0.329
|
Xiao et al. [25]
|
|
iAMPpred
|
70.7%
|
–
|
–
|
0.415
|
80.8%
|
60.6%
|
0.424
|
Meher et al. [26]
|
|
AmPEP
|
68.0%
|
0.751
|
0.686
|
0.362
|
93.6%
|
42.5%
|
0.421
|
Bhadra et al. [27]
|
|
AMP Scanner DNN
|
73.4%
|
0.806
|
0.777
|
0.468
|
80.8%
|
65.9%
|
0.473
|
Veltri et al. [28]
|
|
RF-AmPEP30
|
77.1%
|
0.854
|
0.868
|
0.543
|
77.6%
|
76.6%
|
0.542
|
Yan et al. [32]
|
|
Deep-AmPEP30
|
77.1%
|
0.853
|
0.853
|
0.543
|
76.6%
|
77.7%
|
0.543
|
Yan et al. [32]
|
|
Co-AMPpred
|
80.8%
|
0.871
|
0.890
|
0.606
|
79.7%
|
81.9%
|
0.606
|
This study
|
|
Co-AMPpred70
|
78.6%
|
0.861
|
0.860
|
0.553
|
80.9%
|
74.5%
|
0.554
|
This study
|
|
Co-AMPpred80
|
76.6%
|
0.851
|
0.840
|
0.532
|
78.7%
|
74.5%
|
0.532
|
This study
|
|
Co-AMPpred90
|
70.2%
|
0.843
|
0.860
|
0.404
|
89.4%
|
51.1%
|
0.438
|
This study
|
- The given data in bold font indicates the top performance of the model on the test dataset
- Acc., accuracy; AUROC, area under the receiver operating characteristics curve; AUCPR, area under the precision-recall curve; Sen., sensitivity; Spe., specificity; MCC, Matthew's correlation coefficient; SD, standard deviation
