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. 2023 Sep 25;28(19):6793. doi: 10.3390/molecules28196793

Table 1.

Performance comparison of IonPred with other tools on metal-ion test sets.

Ion Method Rec Pre F1 MCC AUC AUPR
MIB 0.739 0.220 0.339 0.389 0.922 0.388
TargetS 0.450 0.750 0.563 0.578 0.868 0.594
Zn2+ ZinCaps 0.753 0.780 0.766 0.601 0.915 0.768
IonCom 0.779 0.137 0.233 0.317 0.892 0.671
LMetalSite 0.722 0.859 0.785 0.760 0.971 0.801
IonPred 0.790 0.840 0.814 0.600 0.958 0.780
MIB 0.341 0.082 0.132 0.139 0.764 0.105
TargetS 0.119 0.487 0.191 0.244 0.775 0.165
Ca2+ DELIA 0.172 0.630 0.270 0.330 0.782 0.251
IonCom 0.297 0.247 0.270 0.258 0.697 0.166
LMetalSite 0.413 0.720 0.525 0.540 0.904 0.490
IonPred 0.467 0.759 0.578 0.615 0.923 0.520
MIB 0.246 0.043 0.073 0.082 0.673 0.053
TargetS 0.118 0.491 0.190 0.237 0.715 0.148
Mg2+ IonCom 0.240 0.250 0.245 0.237 0.685 0.184
DELIA 0.129 0.065 0.086 0.287 0.740 0.198
LMetalSite 0.245 0.728 0.367 0.419 0.866 0.316
IonPred 0.400 0.780 0.529 0.470 0.889 0.450
MIB 0.462 0.096 0.159 0.193 0.855 0.168
TargetS 0.271 0.496 0.350 0.362 0.862 0.322
Mn2+ DELIA 0.502 0.665 0.572 0.574 0.887 0.489
IonCom 0.511 0.245 0.331 0.344 0.831 0.304
LMetalSite 0.613 0.719 0.662 0.661 0.963 0.625
IonPred 0.620 0.700 0.658 0.670 0.970 0.670
MIB 0.586 0.620 0.603 0.573 0.909 0.354
Fe2+ TargetS 0.345 0.254 0.293 0.245 0.760 0.299
IonPred 0.749 0.728 0.738 0.723 0.937 0.771
IonCom 0.610 0.498 0.548 0.579 0.909 0.567
Fe3+ MIB 0.474 0.399 0.433 0.383 0.813 0.438
IonPred 0.743 0.612 0.671 0.652 0.928 0.724
IonCom 0.596 0.398 0.477 0.592 0.890 0.399
Cu2+ MIB 0.466 0.280 0.350 0.358 0.870 0.419
IonPred 0.789 0.634 0.703 0.620 0.939 0.677
IonCom 0.210 0.178 0.193 0.160 0.723 0.156
K+ TargetS 0.389 0.411 0.400 0.341 0.876 0.336
IonPred 0.498 0.672 0.572 0.524 0.912 0.478
Na+ IonCom 0.451 0.292 0.355 0.218 0.709 0.233
IonPred 0.523 0.731 0.610 0.595 0.904 0.487

Rec refers to Recall, Pre refers to Precision, MCC refers to Matthew’s correlation coefficient, F1 refers to F1 score, AUC refers to Area under the curve, and AUPR refers to Area under precision recall curve. Bold font indicates metric with best performance.