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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RSpredict(20) Pknots
MCC 0.549 > 0.547
Average MCC ± 95% Confidence Intervals 0.541 ± 0.102 < 0.593 ± 0.108
Sensitivity 0.428 < 0.501
Positive Predictive Value 0.712 > 0.604
Total TP 375 < 439
Total TN 131322 > 131122
Total FP 182 < 337
Total FP CONTRA 34 < 52
Total FP INCONS 118 < 236
Total FP COMP 30 < 49
Total FN 502 > 438
P-value 0.0484227593148

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 375
Total TN 131322
Total FP 182
Total FP CONTRA 34
Total FP INCONS 118
Total FP COMP 30
Total FN 502
Total Scores
MCC 0.549
Average MCC ± 95% Confidence Intervals 0.541 ± 0.102
Sensitivity 0.428
Positive Predictive Value 0.712
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.00 0.00 0.00 0 4556 4 0 4 0 20
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.61 0.41 0.92 11 2991 1 0 1 0 16
3GX2_A 0.33 0.15 0.75 6 4363 2 0 2 0 34
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZF_C 0.75 0.61 0.92 33 6867 3 1 2 0 21
3JYV_7 0.77 0.63 0.95 20 2829 1 0 1 0 12
3JYX_3 0.61 0.56 0.68 15 6306 13 0 7 6 12
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.00 0.00 0.00 0 7015 6 1 5 0 46
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3PDR_A 0.67 0.49 0.92 35 12842 5 0 3 2 37
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4A1C_3 0.48 0.33 0.69 18 7114 8 0 8 0 36
4AOB_A 0.28 0.14 0.55 6 4360 5 0 5 0 36
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.45 0.32 0.67 6 1317 3 0 3 0 13

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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 439
Total TN 131122
Total FP 337
Total FP CONTRA 52
Total FP INCONS 236
Total FP COMP 49
Total FN 438
Total Scores
MCC 0.547
Average MCC ± 95% Confidence Intervals 0.593 ± 0.108
Sensitivity 0.501
Positive Predictive Value 0.604
Nr of predictions 26

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2XKV_B 0.23 0.25 0.22 5 4537 31 1 17 13 15
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.32 0.31 0.34 13 5113 25 1 24 0 29
3A2K_C 0.45 0.43 0.48 12 2901 13 2 11 0 16
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3GX2_A 0.47 0.40 0.55 16 4342 14 1 12 1 24
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_3 0.34 0.37 0.31 10 6296 24 9 13 2 17
3JYX_4 0.18 0.21 0.16 7 12203 41 13 23 5 26
3LA5_A 0.80 0.65 1.00 22 2463 0 0 0 0 12
3NPB_A 0.76 0.67 0.86 31 6985 8 1 4 3 15
3O58_2 0.83 0.74 0.93 28 7230 3 0 2 1 10
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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