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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots Murlet(seed)
MCC 0.727 > 0.620
Average MCC ± 95% Confidence Intervals 0.769 ± 0.118 > 0.616 ± 0.071
Sensitivity 0.759 > 0.442
Positive Predictive Value 0.703 < 0.879
Total TP 448 > 261
Total TN 38910 < 39250
Total FP 258 > 49
Total FP CONTRA 68 > 4
Total FP INCONS 121 > 32
Total FP COMP 69 > 13
Total FN 142 < 329
P-value 5.19332990918e-08

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Performance plots


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

  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 Pknots and Murlet(seed)).

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

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 448
Total TN 38910
Total FP 258
Total FP CONTRA 68
Total FP INCONS 121
Total FP COMP 69
Total FN 142
Total Scores
MCC 0.727
Average MCC ± 95% Confidence Intervals 0.769 ± 0.118
Sensitivity 0.759
Positive Predictive Value 0.703
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 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2LC8_A 0.83 0.83 0.83 15 510 3 2 1 0 3
2XKV_B 0.21 0.27 0.17 3 1817 33 3 12 18 8
2XXA_G 0.32 0.34 0.32 12 2008 26 1 24 1 23
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
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
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_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_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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Performance of Murlet(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 261
Total TN 39250
Total FP 49
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 13
Total FN 329
Total Scores
MCC 0.620
Average MCC ± 95% Confidence Intervals 0.616 ± 0.071
Sensitivity 0.442
Positive Predictive Value 0.879
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.54 0.30 1.00 3 171 0 0 0 0 7
2KE6_A 0.67 0.56 0.83 10 455 2 0 2 0 8
2KUR_A 0.65 0.53 0.83 10 455 2 0 2 0 9
2KUU_A 0.67 0.56 0.83 10 435 2 0 2 0 8
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2L1F_A 0.83 0.78 0.90 18 743 2 0 2 0 5
2L1F_B 0.82 0.75 0.90 18 771 2 0 2 0 6
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XXA_G 0.41 0.17 1.00 6 2039 0 0 0 0 29
3A3A_A 0.63 0.40 1.00 12 1488 0 0 0 0 18
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3JYX_4 0.50 0.25 1.00 3 4753 4 0 0 4 9
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3NPB_A 0.59 0.35 1.00 13 2265 2 0 0 2 24
3O58_3 0.52 0.27 1.00 6 4758 1 0 0 1 16
3PDR_A 0.53 0.28 1.00 14 4826 0 0 0 0 36
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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