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 0.556 > 0.547
Average MCC ± 95% Confidence Intervals 0.574 ± 0.101 > 0.540 ± 0.098
Sensitivity 0.495 > 0.428
Positive Predictive Value 0.630 < 0.702
Total TP 499 > 432
Total TN 201933 < 202110
Total FP 346 > 217
Total FP CONTRA 45 > 42
Total FP INCONS 248 > 141
Total FP COMP 53 > 34
Total FN 510 < 577
P-value 4.69838533668e-06

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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 499
Total TN 201933
Total FP 346
Total FP CONTRA 45
Total FP INCONS 248
Total FP COMP 53
Total FN 510
Total Scores
MCC 0.556
Average MCC ± 95% Confidence Intervals 0.574 ± 0.101
Sensitivity 0.495
Positive Predictive Value 0.630
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 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XKV_B 0.51 0.50 0.53 10 4541 25 0 9 16 10
2XQD_Y 0.78 0.70 0.86 19 2828 3 0 3 0 8
2XXA_G 0.13 0.12 0.15 5 5117 29 1 28 0 37
3A2K_C 0.44 0.43 0.46 12 2900 14 2 12 0 16
3AMU_B 0.65 0.59 0.73 16 2981 8 0 6 2 11
3GX2_A 0.77 0.63 0.96 25 4345 2 0 1 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.52 0.45 0.61 60 70777 44 4 35 5 72
3IZF_C 0.68 0.61 0.77 33 6860 10 1 9 0 21
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3JYX_3 0.28 0.30 0.27 8 6298 23 8 14 1 19
3JYX_4 0.20 0.21 0.20 7 12211 35 6 22 7 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.76 0.70 0.84 32 6983 8 1 5 2 14
3O58_2 0.78 0.76 0.81 29 7224 10 2 5 3 9
3O58_3 0.28 0.26 0.31 9 12374 20 3 17 0 26
3PDR_A 0.69 0.60 0.80 43 12826 13 0 11 2 29
3RKF_A 0.73 0.59 0.91 20 2189 2 1 1 0 14
3SD1_A 0.57 0.48 0.69 20 3887 9 2 7 0 22
4A1C_2 0.16 0.15 0.17 5 11751 33 5 20 8 28
4A1C_3 0.66 0.57 0.78 31 7100 9 1 8 0 23
4AOB_A 0.44 0.36 0.56 15 4344 13 1 11 1 27
4ENB_A 0.73 0.58 0.92 11 1263 1 1 0 0 8
4ENC_A 0.73 0.58 0.92 11 1314 1 1 0 0 8

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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 432
Total TN 202110
Total FP 217
Total FP CONTRA 42
Total FP INCONS 141
Total FP COMP 34
Total FN 577
Total Scores
MCC 0.547
Average MCC ± 95% Confidence Intervals 0.540 ± 0.098
Sensitivity 0.428
Positive Predictive Value 0.702
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 0.85 0.73 1.00 8 398 0 0 0 0 3
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.00 0.00 0.00 0 4556 4 0 4 0 20
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.61 0.41 0.92 11 2991 1 0 1 0 16
3GX2_A 0.33 0.15 0.75 6 4363 2 0 2 0 34
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZ4_A 0.53 0.43 0.65 57 70788 35 8 23 4 75
3IZF_C 0.75 0.61 0.92 33 6867 3 1 2 0 21
3JYV_7 0.77 0.63 0.95 20 2829 1 0 1 0 12
3JYX_3 0.61 0.56 0.68 15 6306 13 0 7 6 12
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.00 0.00 0.00 0 7015 6 1 5 0 46
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3PDR_A 0.67 0.49 0.92 35 12842 5 0 3 2 37
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4A1C_3 0.48 0.33 0.69 18 7114 8 0 8 0 36
4AOB_A 0.28 0.14 0.55 6 4360 5 0 5 0 36
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.45 0.32 0.67 6 1317 3 0 3 0 13

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