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 RNAalifold(seed) - scored lower in this pairwise comparison

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


Overview

Metric Pknots RNAalifold(seed)
MCC 0.733 > 0.727
Average MCC ± 95% Confidence Intervals 0.778 ± 0.115 > 0.692 ± 0.100
Sensitivity 0.766 > 0.587
Positive Predictive Value 0.711 < 0.908
Total TP 464 > 356
Total TN 39265 < 39526
Total FP 258 > 54
Total FP CONTRA 68 > 6
Total FP INCONS 121 > 30
Total FP COMP 69 > 18
Total FN 142 < 250
P-value 0.0529443953662

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Pknots and RNAalifold(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 RNAalifold(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 464
Total TN 39265
Total FP 258
Total FP CONTRA 68
Total FP INCONS 121
Total FP COMP 69
Total FN 142
Total Scores
MCC 0.733
Average MCC ± 95% Confidence Intervals 0.778 ± 0.115
Sensitivity 0.766
Positive Predictive Value 0.711
Nr of predictions 27

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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
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L1F_A 1.00 1.00 1.00 23 740 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 RNAalifold(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 356
Total TN 39526
Total FP 54
Total FP CONTRA 6
Total FP INCONS 30
Total FP COMP 18
Total FN 250
Total Scores
MCC 0.727
Average MCC ± 95% Confidence Intervals 0.692 ± 0.100
Sensitivity 0.587
Positive Predictive Value 0.908
Nr of predictions 27

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2. Individual counts for RNAalifold(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 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 0.88 0.83 0.94 15 454 2 0 1 1 3
2KX8_A 0.00 0.00 0.00 0 371 0 0 0 0 16
2L1F_B 0.65 0.58 0.74 14 772 5 0 5 0 10
2L1F_A 0.68 0.61 0.78 14 745 4 0 4 0 9
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 0.80 0.64 1.00 7 1828 2 0 0 2 4
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A3A_A 0.79 0.63 1.00 19 1481 0 0 0 0 11
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.71 0.65 0.79 15 884 4 2 2 0 8
3JYX_4 0.76 0.58 1.00 7 4749 2 0 0 2 5
3LA5_A 0.73 0.64 0.84 16 935 3 1 2 0 9
3NPB_A 0.77 0.59 1.00 22 2256 3 0 0 3 15
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.81 0.66 1.00 33 4807 1 0 0 1 17
3RKF_A 0.74 0.67 0.84 16 847 3 1 2 0 8
3SD1_A 0.70 0.59 0.85 17 1513 3 2 1 0 12
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
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.