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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold HotKnots
MCC 0.638 > 0.631
Average MCC ± 95% Confidence Intervals 0.648 ± 0.108 < 0.664 ± 0.116
Sensitivity 0.629 < 0.666
Positive Predictive Value 0.653 > 0.605
Total TP 461 < 488
Total TN 85256 > 85155
Total FP 302 < 372
Total FP CONTRA 90 < 135
Total FP INCONS 155 < 184
Total FP COMP 57 > 53
Total FN 272 > 245
P-value 4.9225991223e-05

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Performance plots


  1. Comparison of performance of Sfold and HotKnots. 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 Sfold and HotKnots).

  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 Sfold and HotKnots).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Sfold and HotKnots. 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 Sfold and HotKnots).

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 461
Total TN 85256
Total FP 302
Total FP CONTRA 90
Total FP INCONS 155
Total FP COMP 57
Total FN 272
Total Scores
MCC 0.638
Average MCC ± 95% Confidence Intervals 0.648 ± 0.108
Sensitivity 0.629
Positive Predictive Value 0.653
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KFC_A - -0.03 0.00 0.00 0 229 7 1 6 0 8
2KRL_A - 0.91 0.87 0.95 20 2003 9 1 0 8 3
2LC8_A 0.46 0.39 0.58 7 516 5 0 5 0 11
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
2ZZN_D 0.93 0.95 0.91 21 961 3 2 0 1 1
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3ADB_C - 0.67 0.64 0.72 21 1790 9 0 8 1 12
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
3GX2_A 0.86 0.79 0.96 22 1426 2 1 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IWN_A 0.69 0.68 0.70 19 1445 9 1 7 1 9
3IYQ_A 0.25 0.33 0.19 17 22350 86 39 34 13 34
3IZ4_A 0.59 0.56 0.63 53 25452 34 14 17 3 42
3J0L_a - 0.55 0.64 0.50 7 397 8 5 2 1 4
3JYV_7 -0.02 0.00 0.00 0 1095 16 2 14 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.75 0.74 0.78 14 717 4 0 4 0 5
3NPB_A 0.85 0.78 0.94 29 2247 7 0 2 5 8
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
3PDR_A 0.82 0.80 0.85 40 4793 9 2 5 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.78 0.72 0.84 21 1508 4 2 2 0 8
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 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 0 0 0 0 4
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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Performance of HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 488
Total TN 85155
Total FP 372
Total FP CONTRA 135
Total FP INCONS 184
Total FP COMP 53
Total FN 245
Total Scores
MCC 0.631
Average MCC ± 95% Confidence Intervals 0.664 ± 0.116
Sensitivity 0.666
Positive Predictive Value 0.605
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KFC_A - -0.03 0.00 0.00 0 229 7 1 6 0 8
2KRL_A - 0.91 0.87 0.95 20 2003 9 1 0 8 3
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
2ZZN_D 0.93 0.95 0.91 21 961 3 2 0 1 1
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3ADB_C - 0.86 0.85 0.88 28 1787 5 0 4 1 5
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
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
3IWN_A 0.69 0.68 0.70 19 1445 9 1 7 1 9
3IYQ_A 0.24 0.33 0.17 17 22341 96 47 35 14 34
3IZ4_A 0.56 0.60 0.52 57 25426 57 26 27 4 38
3J0L_a - 0.55 0.64 0.50 7 397 8 5 2 1 4
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.69 0.74 0.67 14 714 7 0 7 0 5
3NPB_A 0.85 0.78 0.94 29 2247 6 0 2 4 8
3O58_3 0.26 0.36 0.19 8 4722 35 16 18 1 14
3PDR_A 0.81 0.80 0.82 40 4791 11 3 6 2 10
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
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 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.