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

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(20) - scored higher in this pairwise comparison

  4. Performance of Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(20) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric Murlet(20) Vsfold4
MCC 0.592 > 0.473
Average MCC ± 95% Confidence Intervals 0.601 ± 0.070 > 0.522 ± 0.110
Sensitivity 0.437 > 0.393
Positive Predictive Value 0.807 > 0.574
Total TP 430 > 387
Total TN 198872 > 198731
Total FP 131 < 337
Total FP CONTRA 14 < 31
Total FP INCONS 89 < 256
Total FP COMP 28 < 50
Total FN 554 < 597
P-value 5.1503931209e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and Vsfold4. 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 Murlet(20) and Vsfold4).

  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 Murlet(20) and Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and Vsfold4. 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 Murlet(20) and Vsfold4).

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Performance of Murlet(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 430
Total TN 198872
Total FP 131
Total FP CONTRA 14
Total FP INCONS 89
Total FP COMP 28
Total FN 554
Total Scores
MCC 0.592
Average MCC ± 95% Confidence Intervals 0.601 ± 0.070
Sensitivity 0.437
Positive Predictive Value 0.807
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.67 0.45 1.00 5 401 0 0 0 0 6
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3G4S_9 0.58 0.39 0.88 22 7356 3 1 2 0 35
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3IZ4_A 0.40 0.24 0.65 32 70827 21 1 16 4 100
3IZF_C 0.71 0.56 0.91 30 6870 4 0 3 1 24
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3NPB_A 0.55 0.35 0.89 16 7003 2 1 1 0 30
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3PDR_A 0.70 0.53 0.93 38 12839 3 0 3 0 34
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14

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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 387
Total TN 198731
Total FP 337
Total FP CONTRA 31
Total FP INCONS 256
Total FP COMP 50
Total FN 597
Total Scores
MCC 0.473
Average MCC ± 95% Confidence Intervals 0.522 ± 0.110
Sensitivity 0.393
Positive Predictive Value 0.574
Nr of predictions 25

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2. Individual counts for Vsfold4 [ 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
2WRQ_Y 0.53 0.53 0.53 9 2833 12 5 3 4 8
2XQD_Y 0.86 0.74 1.00 20 2830 0 0 0 0 7
3A2K_C 0.84 0.71 1.00 20 2906 0 0 0 0 8
3AMU_B 0.64 0.56 0.75 15 2983 7 0 5 2 12
3G4S_9 0.30 0.23 0.39 13 7348 20 1 19 0 44
3GX2_A 0.50 0.40 0.64 16 4346 10 0 9 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.36 0.31 0.43 41 70780 59 7 48 4 91
3IZF_C 0.69 0.56 0.86 30 6868 5 0 5 0 24
3JYV_7 -0.01 0.00 0.00 0 2831 19 0 19 0 32
3JYX_3 0.60 0.56 0.65 15 6305 11 4 4 3 12
3JYX_4 0.10 0.09 0.12 3 12220 33 2 21 10 30
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.61 0.50 0.74 23 6990 9 0 8 1 23
3O58_2 0.47 0.42 0.53 16 7230 16 3 11 2 22
3O58_3 0.09 0.09 0.10 3 12373 35 5 22 8 32
3PDR_A 0.57 0.44 0.74 32 12837 13 0 11 2 40
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.19 0.17 0.24 7 3887 22 1 21 0 35
4A1C_3 0.26 0.22 0.32 12 7103 25 2 23 0 42
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.69 0.47 1.00 9 1317 0 0 0 0 10

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