CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of IPknot - scored higher in this pairwise comparison

  4. Performance of UNAFold - scored lower in this pairwise comparison

  5. Compile and download dataset for IPknot & UNAFold [.zip] - may take several seconds...


Overview

Metric IPknot UNAFold
MCC 0.567 > 0.497
Average MCC ± 95% Confidence Intervals 0.507 ± 0.142 > 0.455 ± 0.139
Sensitivity 0.463 > 0.433
Positive Predictive Value 0.702 > 0.578
Total TP 233 > 218
Total TN 60875 > 60830
Total FP 110 < 176
Total FP CONTRA 12 < 20
Total FP INCONS 87 < 139
Total FP COMP 11 < 17
Total FN 270 < 285
P-value 3.24519439238e-08

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Performance plots


  1. Comparison of performance of IPknot and UNAFold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for IPknot and UNAFold).

  2. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for IPknot and UNAFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and UNAFold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for IPknot and UNAFold).

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 233
Total TN 60875
Total FP 110
Total FP CONTRA 12
Total FP INCONS 87
Total FP COMP 11
Total FN 270
Total Scores
MCC 0.567
Average MCC ± 95% Confidence Intervals 0.507 ± 0.142
Sensitivity 0.463
Positive Predictive Value 0.702
Nr of predictions 17

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2. Individual counts for IPknot [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
2LKR_A - 0.84 0.77 0.91 30 6072 4 0 3 1 9
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.21 0.19 0.25 3 1116 9 1 8 0 13
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_7 - -0.01 0.00 0.00 0 1218 7 0 7 0 17
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3U4M_B - 0.68 0.54 0.87 20 3137 3 1 2 0 17
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11

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Performance of UNAFold - scored lower in this pairwise comparison

1. Total counts & total scores for UNAFold

Total Base Pair Counts
Total TP 218
Total TN 60830
Total FP 176
Total FP CONTRA 20
Total FP INCONS 139
Total FP COMP 17
Total FN 285
Total Scores
MCC 0.497
Average MCC ± 95% Confidence Intervals 0.455 ± 0.139
Sensitivity 0.433
Positive Predictive Value 0.578
Nr of predictions 17

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2. Individual counts for UNAFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LKR_A - 0.93 0.87 1.00 34 6071 1 0 0 1 5
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.51 0.50 0.53 8 1113 7 3 4 0 8
3J0L_2 - 0.25 0.24 0.26 8 6185 25 2 21 2 25
3J0L_7 - 0.48 0.41 0.58 7 1213 5 0 5 0 10
3J16_L 0.26 0.23 0.30 7 2752 16 1 15 0 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
4A1C_2 0.14 0.15 0.14 5 11745 42 5 26 11 28
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 1 6 0 14

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.