Table 1.

Benchmark results for SP prediction in Sec/SPI, Sec/SPII, and Tat/SPI

SP TypesMethodArchaeaEukaryaGram-negative bacteriaGram-positive bacteria
MCC1MCC2MCC1MCC1MCC2MCC1MCC2
Sec/SPIPEFT-SP (LoRA)0.8050.7830.9580.8620.8090.9150.848
SignalP 6.0 retrained0.7980.7930.9520.8560.8040.8850.77
SignalP 6.0a0.7370.7280.8680.8110.6490.8780.734
SignalP 5.0a0.7110.670.7740.7050.5860.7980.669
DEEPSIGan.d.n.d.0.7920.7350.1590.7980.146
LipoPa0.7750.6190.3470.7440.4710.8790.442
PHILIUSa0.6910.4380.4480.7660.1470.7520.084
PHOBIUSa0.7960.5510.5310.7660.1530.7160.08
PolyPhobiusa0.7150.4740.4780.8130.1730.7770.136
PRED-LIPOa0.7330.5520.1960.7100.3420.8790.484
PRED-SIGNALa0.9080.6700.2650.6620.1150.8220.171
PRED-TATa0.7810.6550.3400.7360.2090.8390.238
SIGNAL-CFan.d.n.d.0.3330.520.1230.4740.1
Signal-3L 2.0an.d.n.d.0.6050.7310.1080.8780.133
SOSUIsignalan.d.n.d.0.3680.6390.1230.7020.107
SPEPlipan.d.n.d.0.6520.7050.4890.5780.429
SPOCTOPUSa0.7320.4480.5060.8490.1650.8790.134
TOPCONS2a0.7110.4380.5040.8440.1590.8360.078
Sec/SPIIPEFT-SP (LoRA)0.8580.730n.d.0.9550.9450.9280.939
SignalP 6.0 retrained0.8850.825n.d.0.9420.9290.8680.882
SignalP 6.0a0.8710.719n.d.0.8380.8410.8940.893
SignalP 5.0a0.8710.719n.d.0.8840.8740.8830.866
Lipopa0.8710.681n.d.0.8060.8130.710.724
PRED-LIPOa0.7280.608n.d.0.6150.6550.7620.743
SPEPlipan.d.n.d.n.d.0.8560.860.8420.837
Tat/SPIPEFT-SP (LoRA)0.6100.579n.d.0.9750.9610.8450.85
SignalP 6.0 retrained0.5990.563n.d.0.9780.9620.7880.799
SignalP 6.0a0.8020.807n.d.0.9460.9340.7880.806
SignalP 5.0a0.8070.763n.d.0.7190.7320.7080.700
PRED-TATa0.9370.719n.d.0.9450.8690.8230.643
TatPa0.7330.474n.d.0.7300.5910.5680.411
TATFINDa0.9370.662n.d.0.8920.8450.7110.580

[i] The values are the mean MCC1/MCC2 scores across nest cross-validation. The bold values represent the highest MCC1/MCC2 score among the predictors in a particular SP type. (n.d.) The model was not trained on the data.

[ii] aPerformance reported in SignalP 6.0.