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 HotKnots - scored lower in this pairwise comparison

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


Overview

Metric UNAFold HotKnots
MCC 0.633 > 0.631
Average MCC ± 95% Confidence Intervals 0.638 ± 0.117 < 0.664 ± 0.116
Sensitivity 0.655 < 0.666
Positive Predictive Value 0.619 > 0.605
Total TP 480 < 488
Total TN 85186 > 85155
Total FP 368 < 372
Total FP CONTRA 111 < 135
Total FP INCONS 185 > 184
Total FP COMP 72 > 53
Total FN 253 > 245
P-value 0.193426068958

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Performance plots


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

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

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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 480
Total TN 85186
Total FP 368
Total FP CONTRA 111
Total FP INCONS 185
Total FP COMP 72
Total FN 253
Total Scores
MCC 0.633
Average MCC ± 95% Confidence Intervals 0.638 ± 0.117
Sensitivity 0.655
Positive Predictive Value 0.619
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
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 -0.03 0.00 0.00 0 513 15 3 12 0 18
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 2 2 0 0 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 4 0 4 0 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 0.80 0.79 0.81 22 1445 6 1 4 1 6
3IYQ_A 0.23 0.33 0.17 17 22339 96 46 38 12 34
3IZ4_A 0.58 0.60 0.57 57 25436 53 12 31 10 38
3J0L_a - 0.55 0.64 0.50 7 397 8 5 2 1 4
3JYV_7 0.24 0.25 0.25 5 1091 16 7 8 1 15
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 0.42 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
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 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 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.