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

  1. Overview

  2. Performance Plots

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

  4. Performance of Murlet(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for UNAFold & Murlet(20) [.zip] - may take several seconds...


Overview

Metric UNAFold Murlet(20)
MCC 0.711 > 0.704
Average MCC ± 95% Confidence Intervals 0.726 ± 0.094 > 0.706 ± 0.072
Sensitivity 0.716 > 0.596
Positive Predictive Value 0.711 < 0.837
Total TP 525 > 437
Total TN 77401 < 77617
Total FP 365 > 155
Total FP CONTRA 62 > 21
Total FP INCONS 151 > 64
Total FP COMP 152 > 70
Total FN 208 < 296
P-value 2.4733335145e-06

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Performance plots


  1. Comparison of performance of UNAFold and Murlet(20). 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 UNAFold and Murlet(20)).

  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 UNAFold and Murlet(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for UNAFold and Murlet(20). 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 UNAFold and Murlet(20)).

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Performance of UNAFold - scored higher in this pairwise comparison

1. Total counts & total scores for UNAFold

Total Base Pair Counts
Total TP 525
Total TN 77401
Total FP 365
Total FP CONTRA 62
Total FP INCONS 151
Total FP COMP 152
Total FN 208
Total Scores
MCC 0.711
Average MCC ± 95% Confidence Intervals 0.726 ± 0.094
Sensitivity 0.716
Positive Predictive Value 0.711
Nr of predictions 28

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.58 0.64 0.54 7 1822 23 0 6 17 4
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3G4S_9 0.78 0.77 0.80 20 2711 13 2 3 8 6
3GX2_A 0.81 0.79 0.85 22 1423 5 2 2 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.58 0.60 0.57 57 25436 53 12 31 10 38
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3JYV_7 0.24 0.25 0.25 5 1091 16 7 8 1 15
3JYX_3 0.77 0.80 0.75 12 2362 27 0 4 23 3
3JYX_4 0.61 0.83 0.45 10 4734 31 10 2 19 2
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.85 0.78 0.94 29 2247 6 0 2 4 8
3O58_2 0.87 0.87 0.87 27 2723 12 0 4 8 4
3O58_3 0.42 0.50 0.35 11 4733 34 5 15 14 11
3PDR_A 0.93 0.92 0.94 46 4791 5 1 2 2 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4A1C_2 0.19 0.25 0.15 5 4483 42 11 17 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.37 0.33 0.45 5 485 7 0 6 1 10

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Performance of Murlet(20) - scored lower in this pairwise comparison

1. Total counts & total scores for Murlet(20)

Total Base Pair Counts
Total TP 437
Total TN 77617
Total FP 155
Total FP CONTRA 21
Total FP INCONS 64
Total FP COMP 70
Total FN 296
Total Scores
MCC 0.704
Average MCC ± 95% Confidence Intervals 0.706 ± 0.072
Sensitivity 0.596
Positive Predictive Value 0.837
Nr of predictions 28

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2. Individual counts for Murlet(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3G4S_9 0.85 0.77 0.95 20 2715 5 0 1 4 6
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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