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Table 3 The accuracy of secondary structure models predicted from the sequence of K-turn–GNRA construct (best values in bold)

From: New in silico approach to assessing RNA secondary structures with non-canonical base pairs

Method PPV TPR MCC
Variant I: Canonical and non-canonical base pairs
RNAwolf 0.67 0.44 0.54
MC-Fold-DP 0.85 0.61 0.72
MC-Fold 0.77 0.56 0.65
RC/Rp-1 1.00 0.67 0.82
RC/Rp-2 1.00 0.72 0.85
RC/Rp-3 1.00 0.67 0.82
Variant II: Canonical base pairs only
RNAwolf 0.70 0.78 0.74
MC-Fold-DP 0.69 1.00 0.83
MC-Fold 0.89 0.89 0.89
RC/Rp-1 1.00 1.00 1.00
RC/Rp-2 1.00 1.00 1.00
RC/Rp-3 1.00 0.89 0.94
Variant III: Non-canonical base pairs only, regardless of classification
RNAwolf 0.50 0.11 0.24
MC-Fold-DP n/a 0 n/a
MC-Fold 1.00 0.11 0.33
RC/Rp-1 1.00 0.33 0.58
RC/Rp-2 1.00 0.44 0.67
RC/Rp-3 0.75 0.33 0.50
Variant IV: Non-canonical base pairs only, classification dependent
RNAwolf 1.00 0.11 0.33
MC-Fold-DP n/a n/a n/a
MC-Fold 1.00 0.11 0.33
RC/Rp-1 0.67 0.25 0.41
RC/Rp-2 0.75 0.38 0.53
RC/Rp-3 0.67 0.25 0.41