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

  1. Overview

  2. Performance Plots

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

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for Contrafold & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric Contrafold RSpredict(20)
MCC 0.664 > 0.663
Average MCC ± 95% Confidence Intervals 0.682 ± 0.115 > 0.653 ± 0.116
Sensitivity 0.682 > 0.593
Positive Predictive Value 0.652 < 0.748
Total TP 482 > 419
Total TN 74664 < 74843
Total FP 363 > 230
Total FP CONTRA 89 > 61
Total FP INCONS 168 > 80
Total FP COMP 106 > 89
Total FN 225 < 288
P-value 0.000632812409388

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Performance plots


  1. Comparison of performance of Contrafold and RSpredict(20). 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 Contrafold and RSpredict(20)).

  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 Contrafold and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Contrafold and RSpredict(20). 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 Contrafold and RSpredict(20)).

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Performance of Contrafold - scored higher in this pairwise comparison

1. Total counts & total scores for Contrafold

Total Base Pair Counts
Total TP 482
Total TN 74664
Total FP 363
Total FP CONTRA 89
Total FP INCONS 168
Total FP COMP 106
Total FN 225
Total Scores
MCC 0.664
Average MCC ± 95% Confidence Intervals 0.682 ± 0.115
Sensitivity 0.682
Positive Predictive Value 0.652
Nr of predictions 27

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2. Individual counts for Contrafold [ 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
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.64 0.73 0.57 8 1821 27 0 6 21 3
2XQD_Y 0.85 0.86 0.86 18 1108 4 0 3 1 3
2XXA_G 0.10 0.11 0.12 4 2012 30 2 27 1 31
3A2K_C 0.49 0.55 0.46 12 1082 14 3 11 0 10
3AMU_B 0.75 0.79 0.71 15 1136 9 0 6 3 4
3GX2_A 0.93 0.89 0.96 25 1423 2 1 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.57 0.58 0.57 55 25440 49 18 23 8 40
3IZF_C 0.89 0.91 0.86 32 2603 11 0 5 6 3
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3JYX_4 0.39 0.58 0.27 7 4730 35 13 6 16 5
3JYX_3 0.33 0.47 0.24 7 2349 24 16 6 2 8
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.86 0.84 0.89 31 2243 9 1 3 5 6
3O58_2 0.92 0.94 0.91 29 2722 10 0 3 7 2
3O58_3 0.32 0.36 0.29 8 4736 21 7 13 1 14
3PDR_A 0.83 0.86 0.80 43 4786 13 5 6 2 7
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 5 4 0 9
4A1C_3 0.81 0.81 0.81 30 2726 10 0 7 3 7
4A1C_2 0.21 0.25 0.19 5 4489 33 9 13 11 15
4AOB_A 0.53 0.52 0.56 15 1410 13 3 9 1 14
4ENB_A 0.85 0.73 1.00 11 461 1 0 0 1 4
4ENC_A 0.85 0.73 1.00 11 485 1 0 0 1 4

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Performance of RSpredict(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 419
Total TN 74843
Total FP 230
Total FP CONTRA 61
Total FP INCONS 80
Total FP COMP 89
Total FN 288
Total Scores
MCC 0.663
Average MCC ± 95% Confidence Intervals 0.653 ± 0.116
Sensitivity 0.593
Positive Predictive Value 0.748
Nr of predictions 27

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2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.53 0.50 0.60 9 342 7 0 6 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.00 0.00 0.00 0 1831 4 1 3 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.69 0.53 0.91 10 1146 2 0 1 1 9
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3IZF_C 0.94 0.91 0.97 32 2607 4 0 1 3 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
3JYX_3 0.80 0.80 0.80 12 2363 16 0 3 13 3
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_2 0.93 0.94 0.94 29 2723 10 0 2 8 2
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_3 0.60 0.49 0.75 18 2739 8 0 6 2 19
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 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.