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

  1. Overview

  2. Performance Plots

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

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

  5. Compile and download dataset for Fold & Pknots [.zip] - may take several seconds...


Overview

Metric Fold Pknots
MCC 0.606 > 0.582
Average MCC ± 95% Confidence Intervals 0.549 ± 0.103 < 0.578 ± 0.099
Sensitivity 0.532 > 0.520
Positive Predictive Value 0.697 > 0.658
Total TP 568 > 555
Total TN 140600 > 140572
Total FP 289 < 320
Total FP CONTRA 29 < 36
Total FP INCONS 218 < 252
Total FP COMP 42 > 32
Total FN 500 < 513
P-value 3.85233844192e-08

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Performance plots


  1. Comparison of performance of Fold and Pknots. 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 Fold and Pknots).

  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 Fold and Pknots).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Fold and Pknots. 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 Fold and Pknots).

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Performance of Fold - scored higher in this pairwise comparison

1. Total counts & total scores for Fold

Total Base Pair Counts
Total TP 568
Total TN 140600
Total FP 289
Total FP CONTRA 29
Total FP INCONS 218
Total FP COMP 42
Total FN 500
Total Scores
MCC 0.606
Average MCC ± 95% Confidence Intervals 0.549 ± 0.103
Sensitivity 0.532
Positive Predictive Value 0.697
Nr of predictions 32

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2. Individual counts for Fold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.76 0.60 0.96 24 5126 5 0 1 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2LA5_A - 0.39 0.26 0.63 5 622 3 1 2 0 14
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LKR_A - 0.85 0.79 0.91 31 6071 5 0 3 2 8
2WWQ_V 0.76 0.64 0.90 18 2906 3 0 2 1 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3ADB_C - 0.80 0.74 0.88 28 4154 4 0 4 0 10
3AKZ_H 0.84 0.75 0.95 21 2679 1 1 0 0 7
3AM1_B - 0.78 0.71 0.86 25 3211 4 0 4 0 10
3AMU_B 0.64 0.59 0.70 16 2980 9 0 7 2 11
3IZF_C 0.70 0.59 0.82 32 6864 7 1 6 0 22
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J0L_a - 0.20 0.19 0.23 3 1115 10 2 8 0 13
3J0L_2 - 0.25 0.24 0.26 8 6185 25 2 21 2 25
3J16_L 0.63 0.53 0.76 16 2754 5 0 5 0 14
3NDB_M - 0.84 0.74 0.96 45 9133 3 0 2 1 16
3NKB_B - 0.35 0.31 0.42 8 1997 11 0 11 0 18
3NPB_A 0.70 0.61 0.80 28 6986 10 1 6 3 18
3O58_3 0.29 0.31 0.28 11 12363 41 3 26 12 24
3O58_2 0.71 0.71 0.71 27 7222 12 3 8 1 11
3PDR_A 0.77 0.64 0.94 46 12831 5 0 3 2 26
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.57 0.48 0.69 20 3887 9 1 8 0 22
3U4M_B - 0.45 0.35 0.59 13 3138 9 1 8 0 24
3UZL_B 0.77 0.62 0.96 23 3546 1 0 1 0 14
4A1C_3 0.68 0.57 0.82 31 7102 7 1 6 0 23
4A1C_2 0.14 0.15 0.14 5 11744 43 5 27 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.32 0.26 0.42 5 1263 7 1 6 0 14
4ENC_A 0.31 0.26 0.38 5 1313 8 1 7 0 14

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Performance of Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 555
Total TN 140572
Total FP 320
Total FP CONTRA 36
Total FP INCONS 252
Total FP COMP 32
Total FN 513
Total Scores
MCC 0.582
Average MCC ± 95% Confidence Intervals 0.578 ± 0.099
Sensitivity 0.520
Positive Predictive Value 0.658
Nr of predictions 32

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2. Individual counts for Pknots [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.67 0.58 0.79 23 5122 9 2 4 3 17
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2LA5_A - 0.46 0.26 0.83 5 624 1 0 1 0 14
2LC8_A 0.79 0.75 0.83 15 1522 3 1 2 0 5
2LKR_A - 0.44 0.44 0.45 17 6067 22 4 17 1 22
2WWQ_V 0.24 0.21 0.29 6 2905 16 1 14 1 22
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3ADB_C - 0.92 0.84 1.00 32 4154 0 0 0 0 6
3AKZ_H 0.84 0.75 0.95 21 2679 1 1 0 0 7
3AM1_B - 0.91 0.83 1.00 29 3211 0 0 0 0 6
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J0L_g - -0.01 0.00 0.00 0 460 5 2 3 0 4
3J0L_7 - 0.28 0.29 0.29 5 1208 12 0 12 0 12
3J0L_a - 0.35 0.31 0.42 5 1116 7 1 6 0 11
3J0L_2 - 0.36 0.36 0.36 12 6183 23 3 18 2 21
3J16_L 0.34 0.30 0.41 9 2753 13 0 13 0 21
3NDB_M - 0.77 0.69 0.88 42 9132 7 1 5 1 19
3NKB_B - 0.55 0.50 0.62 13 1995 8 0 8 0 13
3NPB_A 0.76 0.67 0.86 31 6985 8 1 4 3 15
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3O58_2 0.83 0.74 0.93 28 7230 3 0 2 1 10
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
3U4M_B - 0.26 0.22 0.32 8 3135 17 0 17 0 29
3UZL_B 0.75 0.59 0.96 22 3547 1 0 1 0 15
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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