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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RSpredict(20) Afold
MCC 0.558 > 0.517
Average MCC ± 95% Confidence Intervals 0.575 ± 0.136 > 0.549 ± 0.137
Sensitivity 0.472 < 0.475
Positive Predictive Value 0.664 > 0.566
Total TP 285 < 287
Total TN 151738 > 151660
Total FP 176 < 279
Total FP CONTRA 41 > 38
Total FP INCONS 103 < 182
Total FP COMP 32 < 59
Total FN 319 > 317
P-value 1.42300079339e-08

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Performance plots


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

  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 RSpredict(20) and Afold).

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

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

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

Total Base Pair Counts
Total TP 285
Total TN 151738
Total FP 176
Total FP CONTRA 41
Total FP INCONS 103
Total FP COMP 32
Total FN 319
Total Scores
MCC 0.558
Average MCC ± 95% Confidence Intervals 0.575 ± 0.136
Sensitivity 0.472
Positive Predictive Value 0.664
Nr of predictions 16

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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
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
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
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13

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Performance of Afold - scored lower in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 287
Total TN 151660
Total FP 279
Total FP CONTRA 38
Total FP INCONS 182
Total FP COMP 59
Total FN 317
Total Scores
MCC 0.517
Average MCC ± 95% Confidence Intervals 0.549 ± 0.137
Sensitivity 0.475
Positive Predictive Value 0.566
Nr of predictions 16

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2. Individual counts for Afold [ 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 0.57 0.59 0.56 10 2832 13 5 3 5 7
3A2K_C 0.41 0.39 0.44 11 2901 14 2 12 0 17
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.48 0.45 0.51 59 70760 58 11 46 1 73
3IZF_C 0.66 0.57 0.76 31 6862 10 1 9 0 23
3JYV_7 -0.01 0.00 0.00 0 2827 23 1 22 0 32
3JYX_3 0.54 0.56 0.54 15 6300 24 1 12 11 12
3JYX_4 0.31 0.30 0.31 10 12214 35 5 17 13 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.74 0.61 0.90 28 6990 5 0 3 2 18
3O58_2 0.66 0.66 0.66 25 7222 14 4 9 1 13
3O58_3 0.34 0.34 0.34 12 12368 37 2 21 14 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
4A1C_2 0.14 0.15 0.14 5 11745 43 5 26 12 28
4ENB_A 0.67 0.58 0.79 11 1261 3 1 2 0 8

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