Research Article
[Retracted] Machine Learning-Based Ensemble Model for Zika Virus T-Cell Epitope Prediction
Table 7
Validation results of the proposed ensemble model and its comparison with existing methods.
| | Peptide sequence | Actual target | Comparison with NetMHC | Comparison with CTLpred | | Binding capacity by NetMHC | Predictions by the proposed model | Predictions by CTLpred | Predictions by the proposed model |
| | NSFVVDGDT | Epitope | 49 | 1 | Epitope | 1 | | VREDYSLECDPAVIG | Epitope | 25 | 1 | — | 1 | | AQMAVDMQT | Epitope | 3.9 | 1 | Epitope | 1 | | FVVDGDTLKECPLKH | Epitope | 2.2 | 1 | — | 1 | | GEAYLDKQ | Epitope | 75 | 1 | Nonepitope | 1 | | GPSLRSTTASGRVIE | Epitope | 34 | 1 | — | 1 | | MEIRPRKEPESNLVR | Epitope | 65 | 1 | — | 1 | | TRGPSLRST | Epitope | 7.2 | 1 | Epitope | 1 | | MLRIINARG | Non epitope | 3.4 | 0 | Nonepitope | 0 | | IQIMDLGHMATC | Non epitope | 56 | 0 | — | 0 | | LVTCAKMQ | Non epitope | 80 | 0 | Nonepitope | 0 | | LGGFGSL | Non epitope | 78 | 0 | Epitope | 0 | | VVVLGSQERIN | Non epitope | 34 | 0 | — | 0 |
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