Skip to main content

Table 4 Hemolytic activity classification results for the model trained on HLPpred-Fuse [5] dataset’s train set and validated on its test set. First three rows are reported as it was published in [5]

From: AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning

Model

Accuracy

Recall

Precision

ROC-AUC

MCC

HLPpred-Fuse [5]

–

0.845

–

0.967

0.823

HemoPI [5, 19]

–

0.804

–

0.952

0.754

HemoPred [5, 18]

–

0.652

–

–

0.34

AMPDeep

0.9369

0.8824

0.8667

0.9716

0.8324

  1. Bold values are for the best performing model