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

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(20) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(20) Pknots
MCC 0.735 > 0.639
Average MCC ± 95% Confidence Intervals 0.715 ± 0.072 > 0.685 ± 0.120
Sensitivity 0.636 < 0.683
Positive Predictive Value 0.855 > 0.606
Total TP 406 < 436
Total TN 52128 > 51884
Total FP 133 < 379
Total FP CONTRA 18 < 104
Total FP INCONS 51 < 179
Total FP COMP 64 < 96
Total FN 232 > 202
P-value 5.1503931209e-08

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Performance plots


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

  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 Murlet(20) and Pknots).

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

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

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

Total Base Pair Counts
Total TP 406
Total TN 52128
Total FP 133
Total FP CONTRA 18
Total FP INCONS 51
Total FP COMP 64
Total FN 232
Total Scores
MCC 0.735
Average MCC ± 95% Confidence Intervals 0.715 ± 0.072
Sensitivity 0.636
Positive Predictive Value 0.855
Nr of predictions 27

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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
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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Performance of Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 436
Total TN 51884
Total FP 379
Total FP CONTRA 104
Total FP INCONS 179
Total FP COMP 96
Total FN 202
Total Scores
MCC 0.639
Average MCC ± 95% Confidence Intervals 0.685 ± 0.120
Sensitivity 0.683
Positive Predictive Value 0.606
Nr of predictions 27

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2. Individual counts for Pknots [ 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 0.94 0.94 0.94 17 339 2 0 1 1 1
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
2XKV_B 0.21 0.27 0.17 3 1817 33 3 12 18 8
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.32 0.34 0.32 12 2008 26 1 24 1 23
3A2K_C 0.50 0.55 0.48 12 1083 13 3 10 0 10
3AMU_B 1.00 1.00 1.00 19 1138 3 0 0 3 0
3G4S_9 0.37 0.46 0.31 12 2697 27 14 13 0 14
3GX2_A 0.55 0.57 0.55 16 1420 14 4 9 1 12
3IVN_B 0.91 0.87 0.95 20 882 1 0 1 0 3
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.37 0.53 0.27 8 2348 26 17 5 4 7
3JYX_4 0.33 0.58 0.19 7 4720 41 22 7 12 5
3LA5_A 0.94 0.88 1.00 22 932 0 0 0 0 3
3NPB_A 0.84 0.81 0.88 30 2244 9 0 4 5 7
3O58_2 0.93 0.90 0.97 28 2725 3 0 1 2 3
3O58_3 0.32 0.45 0.24 10 4722 39 18 14 7 12
3PDR_A 0.64 0.64 0.65 32 4791 19 4 13 2 18
3RKF_A 0.91 0.88 0.95 21 844 1 0 1 0 3
3SD1_A 0.78 0.76 0.81 22 1506 5 1 4 0 7
4A1C_3 0.28 0.30 0.28 11 2723 30 4 25 1 26
4A1C_2 0.33 0.40 0.29 8 4488 36 9 11 16 12
4AOB_A 0.19 0.21 0.21 6 1409 23 3 19 1 23
4ENB_A 1.00 1.00 1.00 15 457 2 0 0 2 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

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