Table 7 RNA design benchmark results for the RNAsolo dataset divided by motif type (best values in bold).
From: Comprehensive datasets for RNA design, machine learning, and beyond
RNA design algorithm | Average computing time (s) | Normalized RNAdistance | RNApdist | F1-score |
|---|---|---|---|---|
Results for 2248 instances of internal loop motifs successfully solved by each algorithm | ||||
 RNAinverse | 0.24 | 0.06 | 7.73 | 0.97 |
 RNAsfbinv | 4.17 | 0.10 | 8.68 | 0.85 |
 INFO-RNA | 0.05 | 0.12 | 7.65 | 0.84 |
 RNARedPrint | 7.69 | 0.13 | 7.75 | 0.91 |
 DSS-Opt | 2.13 | 0.06 | 7.24 | 0.96 |
 DesiRNA | 293.50 | 0.01 | 6.95 | 0.99 |
 Meta-LEARNA | 4.86 | 0.07 | 7.13 | 0.94 |
| Â | 8.13 | Â | Â | Â |
Results for 327 instances of higher-cardinality junction motifs successfully solved by each algorithm | ||||
 RNAinverse | 1.31 | 0.06 | 20.59 | 0.97 |
 RNAsfbinv | 14.42 | 0.11 | 21.72 | 0.88 |
 INFO-RNA | 0.16 | 0.14 | 19.43 | 0.85 |
 RNARedPrint | 8.92 | 0.22 | 21.08 | 0.84 |
 DSS-Opt | 2.33 | 0.03 | 19.82 | 0.98 |
 DesiRNA | 385.78 | 0.02 | 18.75 | 0.99 |
 Meta-LEARNA | 5.88 | 0.04 | 19.27 | 0.95 |
Results for 160 instances of 3-way junction motifs successfully solved by each algorithm | ||||
 RNAinverse | 1.91 | 0.08 | 21.21 | 0.96 |
 RNAsfbinv | 19.72 | 0.14 | 22.60 | 0.84 |
 INFO-RNA | 0.17 | 0.20 | 20.23 | 0.78 |
 RNARedPrint | 9.37 | 0.28 | 22.54 | 0.80 |
 DSS-Opt | 2.91 | 0.04 | 19.33 | 0.97 |
 DesiRNA | 384.37 | 0.02 | 18.12 | 0.98 |
 Meta-LEARNA | 6.65 | 0.04 | 18.93 | 0.96 |
Results for 154 instances of 4-way junction motifs successfully solved by each algorithm | ||||
 RNAinverse | 0.74 | 0.04 | 19.70 | 0.98 |
 RNAsfbinv | 8.73 | 0.07 | 20.35 | 0.92 |
 INFO-RNA | 0.13 | 0.09 | 18.14 | 0.91 |
 RNARedPrint | 8.44 | 0.15 | 19.12 | 0.90 |
 DSS-Opt | 1.76 | 0.02 | 19.76 | 0.99 |
 DesiRNA | 386.64 | 0.01 | 18.81 | 0.99 |
 Meta-LEARNA | 4.78 | 0.03 | 19.13 | 0.94 |
