Table 2 Comparation performance on the AIP test set

From: PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model

 

ACC

Recall

Precision

F1-score

MCC

AIPStack

0.740

0.605

0.704

0.650

0.448

PPTPP (Class feature)

0.711

0.524

0.681

0.592

0.382

PPTPP (Probability feature)

0.727

0.562

0.698

0.623

0.419

PPTPP (Fusion feature)

0.627

0.095

0.784

0.170

0.177

AIP_MDL

0.757

0.731

0.774

0.707

0.500

TriNet

0.669

0.450

0.620

0.521

0.287

PepNet (Standard)

0.819

0.940

0.705

0.806

0.666

PepNet (Fast)

0.764

0.776

0.679

0.724

0.523

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