| Dataset . | MoRFCHiBi_Web . | MoRFCHiBi_Light . | MoRFCHiBi . | fMoRFpred . | MoRFpred . | ANCHOR . |
|---|---|---|---|---|---|---|
| TEST_EXP | 0.894, 0.755 | 0.868, 0.770 | 0.790, 0.679 | 0.662, 0.655 | 0.673, 0.598 | 0.683, 0.586 |
| TEST_HT | 0.806 | 0.777 | 0.743 | 0.646 | 0.675 | 0.605 |
| Dataset . | MoRFCHiBi_Web . | MoRFCHiBi_Light . | MoRFCHiBi . | fMoRFpred . | MoRFpred . | ANCHOR . |
|---|---|---|---|---|---|---|
| TEST_EXP | 0.894, 0.755 | 0.868, 0.770 | 0.790, 0.679 | 0.662, 0.655 | 0.673, 0.598 | 0.683, 0.586 |
| TEST_HT | 0.806 | 0.777 | 0.743 | 0.646 | 0.675 | 0.605 |
AUC values of MoRFchibi SYSTEM predictors compared to those of fMoRFpred, MoRFpred, and ANCHOR using TEST_EXP53 and TEST_HT. We evaluated MoRF predictions for short MoRFs (up to 30 residues) separately from long MoRFs (more than 30 residues). Thus, AUC results for the TEST_EXP53 set are in the form: short, long.
| Dataset . | MoRFCHiBi_Web . | MoRFCHiBi_Light . | MoRFCHiBi . | fMoRFpred . | MoRFpred . | ANCHOR . |
|---|---|---|---|---|---|---|
| TEST_EXP | 0.894, 0.755 | 0.868, 0.770 | 0.790, 0.679 | 0.662, 0.655 | 0.673, 0.598 | 0.683, 0.586 |
| TEST_HT | 0.806 | 0.777 | 0.743 | 0.646 | 0.675 | 0.605 |
| Dataset . | MoRFCHiBi_Web . | MoRFCHiBi_Light . | MoRFCHiBi . | fMoRFpred . | MoRFpred . | ANCHOR . |
|---|---|---|---|---|---|---|
| TEST_EXP | 0.894, 0.755 | 0.868, 0.770 | 0.790, 0.679 | 0.662, 0.655 | 0.673, 0.598 | 0.683, 0.586 |
| TEST_HT | 0.806 | 0.777 | 0.743 | 0.646 | 0.675 | 0.605 |
AUC values of MoRFchibi SYSTEM predictors compared to those of fMoRFpred, MoRFpred, and ANCHOR using TEST_EXP53 and TEST_HT. We evaluated MoRF predictions for short MoRFs (up to 30 residues) separately from long MoRFs (more than 30 residues). Thus, AUC results for the TEST_EXP53 set are in the form: short, long.
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