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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Afold RSpredict(seed)
MCC 0.657 > 0.440
Average MCC ± 95% Confidence Intervals 0.727 ± 0.112 > 0.374 ± 0.135
Sensitivity 0.693 > 0.281
Positive Predictive Value 0.629 < 0.697
Total TP 540 > 219
Total TN 90057 < 90602
Total FP 463 > 117
Total FP CONTRA 118 > 19
Total FP INCONS 201 > 76
Total FP COMP 144 > 22
Total FN 239 < 560
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of Afold - scored higher in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 540
Total TN 90057
Total FP 463
Total FP CONTRA 118
Total FP INCONS 201
Total FP COMP 144
Total FN 239
Total Scores
MCC 0.657
Average MCC ± 95% Confidence Intervals 0.727 ± 0.112
Sensitivity 0.693
Positive Predictive Value 0.629
Nr of predictions 32

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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 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2L1F_B 0.98 1.00 0.96 24 766 1 0 1 0 0
2L1F_A 0.98 1.00 0.96 23 739 1 0 1 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.64 0.61 0.69 11 512 6 0 5 1 7
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
2ZZM_B 0.25 0.27 0.25 4 1342 20 3 9 8 11
2ZZN_D 0.91 0.91 0.91 20 962 3 2 0 1 2
3A2K_C 0.46 0.50 0.44 11 1083 14 3 11 0 11
3A3A_A 0.93 0.87 1.00 26 1474 0 0 0 0 4
3AKZ_H 0.19 0.20 0.21 4 1108 17 4 11 2 16
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.23 0.33 0.17 17 22339 97 47 37 13 34
3IZ4_A 0.52 0.57 0.48 54 25423 63 27 32 4 41
3IZF_C 0.83 0.86 0.81 30 2603 11 0 7 4 5
3JYV_7 -0.02 0.00 0.00 0 1088 23 4 19 0 20
3JYX_3 0.64 0.67 0.63 10 2362 29 0 6 23 5
3JYX_4 0.61 0.83 0.45 10 4734 35 10 2 23 2
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.82 0.73 0.93 27 2249 6 0 2 4 10
3O58_3 0.41 0.50 0.34 11 4732 38 6 15 17 11
3O58_2 0.80 0.81 0.81 25 2723 14 0 6 8 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
4A1C_2 0.19 0.25 0.15 5 4483 43 11 17 15 15
4ENB_A 0.81 0.73 0.92 11 460 3 0 1 2 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 219
Total TN 90602
Total FP 117
Total FP CONTRA 19
Total FP INCONS 76
Total FP COMP 22
Total FN 560
Total Scores
MCC 0.440
Average MCC ± 95% Confidence Intervals 0.374 ± 0.135
Sensitivity 0.281
Positive Predictive Value 0.697
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 0.89 0.80 1.00 8 166 0 0 0 0 2
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2KX8_A -0.01 0.00 0.00 0 370 1 0 1 0 16
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2WRQ_Y 0.00 0.00 0.00 0 1150 3 1 1 1 9
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
2ZZM_B 0.00 0.00 0.00 0 1358 4 0 0 4 15
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3AKZ_H -0.01 0.00 0.00 0 1125 2 0 2 0 20
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3IZF_C 0.00 0.00 0.00 0 2635 5 0 5 0 35
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3JYX_3 0.00 0.00 0.00 0 2373 5 1 4 0 15
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12

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