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 PPfold(seed) - scored lower in this pairwise comparison

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


Overview

Metric Pknots PPfold(seed)
MCC 0.609 > 0.202
Average MCC ± 95% Confidence Intervals 0.638 ± 0.165 > 0.099 ± 0.109
Sensitivity 0.646 > 0.066
Positive Predictive Value 0.583 < 0.634
Total TP 254 > 26
Total TN 32275 < 32670
Total FP 239 > 80
Total FP CONTRA 59 > 1
Total FP INCONS 123 > 14
Total FP COMP 57 < 65
Total FN 139 < 367
P-value 2.16131455263e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Pknots and PPfold(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 PPfold(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 254
Total TN 32275
Total FP 239
Total FP CONTRA 59
Total FP INCONS 123
Total FP COMP 57
Total FN 139
Total Scores
MCC 0.609
Average MCC ± 95% Confidence Intervals 0.638 ± 0.165
Sensitivity 0.646
Positive Predictive Value 0.583
Nr of predictions 17

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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
2LC8_A 0.83 0.83 0.83 15 510 3 2 1 0 3
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3D_C 0.46 0.53 0.42 10 944 14 5 9 0 9
3J3E_8 0.10 0.13 0.09 2 2720 33 5 15 13 13
3J3F_8 0.42 0.53 0.33 10 4731 37 10 10 17 9
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
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.78 0.76 0.81 25 1958 7 1 5 1 8
3ZEX_C 0.10 0.14 0.08 4 5322 54 13 35 6 25
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
4FRG_B 0.55 0.50 0.63 12 1183 7 0 7 0 12
4FRN_A 0.57 0.54 0.63 15 1824 9 3 6 0 13
4JF2_A 0.92 1.00 0.86 24 1054 4 4 0 0 0

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Performance of PPfold(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 26
Total TN 32670
Total FP 80
Total FP CONTRA 1
Total FP INCONS 14
Total FP COMP 65
Total FN 367
Total Scores
MCC 0.202
Average MCC ± 95% Confidence Intervals 0.099 ± 0.109
Sensitivity 0.066
Positive Predictive Value 0.634
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.49 0.33 0.75 6 520 2 0 2 0 12
3J20_0 0.00 0.00 0.00 0 1219 0 0 0 0 21
3J3D_C 0.00 0.00 0.00 0 968 0 0 0 0 19
3J3E_8 0.00 0.00 0.00 0 2742 6 0 0 6 15
3J3F_8 0.19 0.11 0.33 2 4755 24 0 4 20 17
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.00 0.00 0.00 0 1678 0 0 0 0 31
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
3ZEX_C 0.15 0.07 0.33 2 5368 24 0 4 20 27
4A1C_2 0.10 0.05 0.20 1 4511 23 0 4 19 19
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28
4JF2_A 0.76 0.63 0.94 15 1066 1 1 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.