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. 2024 Aug 14;25(16):8851. doi: 10.3390/ijms25168851

Table 2.

Benchmarking of our models with state-of-the-art methods reported in the literature (In bold, the highest performance for each evaluated metric and for each method in all evaluated tasks).

Task Method Reference Sensitivity Specificity F1
Antimicrobial AMP-Detector 0.91 0.85 0.88
AMP-discover [31] 0.66 0.78 0.74
amplify [32] 0.8 0.7 0.72
TPpred-LE [30] 0.62 0.71 0.71
AMPScanner [33] 0.59 0.55 0.55
Antifungal AMP-Detector 0.85 0.79 0.84
AMPfun [34] 0.6 0.56 0.67
IAMP-RAAC [35] 0.59 0.54 0.67
AMP-discover [31] 0.53 0.38 0.61
DeepAFP [36] 0.55 0.44 0.52
TPpred-LE [30] 0.75 0.46 0.14
Antibacterial AMP-Detector 0.95 0.81 0.96
AMP-discover [31] 0.92 0.39 0.89
AntiBP3 Gram variable [37] 0.98 0.39 0.86
AntiBP3 Gram (−) [37] 0.94 0.3 0.82
AntiBP3 Gram + [37] 0.94 0.3 0.82
DBAASP E. coli [38] 0.98 0.21 0.59
DBAASP S. aureus [38] 0.98 0.19 0.49
AMPActiPred [38] 0.84 0.13 0.49
DBAASP Klebsiella [38] 0.99 0.18 0.45
TPpred-LE [30] 0.97 0.17 0.41
DBAASP Pseudomonas [38] 0.97 0.17 0.4
Antiparasitic AMP-Detector 0.89 0.8 0.84
AMP-discover [31] 0.56 0.56 0.66
AMPfun [34] 0.67 0.48 0.2
IAMP-RAAC [35] 0.49 0.46 0.16
multipep_max [39] 0.71 0.47 0.07
TPpred-LE [30] 1.0 0.47 0.01
Antiviral AMP-Detector 0.76 0.77 0.78
IAMP-RAAC [35] 0.72 0.65 0.68
TPpred-LE [30] 0.89 0.65 0.67
AMPfun [34] 0.75 0.63 0.66
AMP-discover [31] 0.56 0.57 0.66
DeepAVP [40] 0.52 0.46 0.57
AVP-IFT [12] 0.52 0.47 0.46