AFPtransferPred

This tool has been designed for the prediction of the antifungal activity of peptides based on their amino acid sequence. If you find this tool useful for your research, please cite us:

Lobo, F.; González, M.; Boto, A.; Pérez-de la Lastra, J.M. Prediction of antifungal activity in antimicrobial peptides employing transfer learning from protein pretrained models. Int. J. Mol. Sci. 2023, 24(12), 10270

ROC AUCAccuracyPrecisionRecallF1MCC
0.970.900.900.900.900.81
Metrics based on our test dataset. Read the paper for more details