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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric Pknots RSpredict(seed)
MCC 0.577 > 0.210
Average MCC ± 95% Confidence Intervals 0.619 ± 0.095 > 0.167 ± 0.096
Sensitivity 0.520 > 0.091
Positive Predictive Value 0.647 > 0.492
Total TP 547 > 96
Total TN 144302 < 144952
Total FP 335 > 101
Total FP CONTRA 55 > 5
Total FP INCONS 243 > 94
Total FP COMP 37 > 2
Total FN 505 < 956
P-value 3.56938820447e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Pknots and RSpredict(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 RSpredict(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 547
Total TN 144302
Total FP 335
Total FP CONTRA 55
Total FP INCONS 243
Total FP COMP 37
Total FN 505
Total Scores
MCC 0.577
Average MCC ± 95% Confidence Intervals 0.619 ± 0.095
Sensitivity 0.520
Positive Predictive Value 0.647
Nr of predictions 32

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2LC8_A 0.79 0.75 0.83 15 1522 3 1 2 0 5
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2WWQ_V 0.24 0.21 0.29 6 2905 16 1 14 1 22
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2ZZM_B 0.20 0.19 0.23 6 3460 20 2 18 0 26
2ZZN_D 0.86 0.78 0.95 21 2463 1 0 1 0 6
3A2K_C 0.45 0.43 0.48 12 2901 13 2 11 0 16
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3AKZ_H 0.84 0.75 0.95 21 2679 1 1 0 0 7
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3GX2_A 0.47 0.40 0.55 16 4342 14 1 12 1 24
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J16_L 0.34 0.30 0.41 9 2753 13 0 13 0 21
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.18 0.21 0.16 7 12203 41 13 23 5 26
3JYX_3 0.34 0.37 0.31 10 6296 24 9 13 2 17
3LA5_A 0.80 0.65 1.00 22 2463 0 0 0 0 12
3NPB_A 0.76 0.67 0.86 31 6985 8 1 4 3 15
3O58_2 0.83 0.74 0.93 28 7230 3 0 2 1 10
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
3UZL_B 0.75 0.59 0.96 22 3547 1 0 1 0 15
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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

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

Total Base Pair Counts
Total TP 96
Total TN 144952
Total FP 101
Total FP CONTRA 5
Total FP INCONS 94
Total FP COMP 2
Total FN 956
Total Scores
MCC 0.210
Average MCC ± 95% Confidence Intervals 0.167 ± 0.096
Sensitivity 0.091
Positive Predictive Value 0.492
Nr of predictions 32

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
2WWQ_V 0.00 0.00 0.00 0 2920 6 1 5 0 28
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
2ZZM_B 0.00 0.00 0.00 0 3482 4 0 4 0 32
2ZZN_D 0.43 0.19 1.00 5 2480 0 0 0 0 22
3A2K_C 0.00 0.00 0.00 0 2924 2 0 2 0 28
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3AKZ_H 0.00 0.00 0.00 0 2699 2 0 2 0 28
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3GX2_A 0.36 0.15 0.86 6 4364 1 0 1 0 34
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16

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