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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric UNAFold Cylofold
MCC 0.612 > 0.607
Average MCC ± 95% Confidence Intervals 0.562 ± 0.100 < 0.586 ± 0.088
Sensitivity 0.535 > 0.512
Positive Predictive Value 0.706 < 0.727
Total TP 485 > 464
Total TN 111860 < 111909
Total FP 227 > 197
Total FP CONTRA 24 > 21
Total FP INCONS 178 > 153
Total FP COMP 25 > 23
Total FN 422 < 443
P-value 0.00868735948554

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Performance plots


  1. Comparison of performance of UNAFold and Cylofold. 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 UNAFold and Cylofold).

  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 UNAFold and Cylofold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for UNAFold and Cylofold. 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 UNAFold and Cylofold).

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Performance of UNAFold - scored higher in this pairwise comparison

1. Total counts & total scores for UNAFold

Total Base Pair Counts
Total TP 485
Total TN 111860
Total FP 227
Total FP CONTRA 24
Total FP INCONS 178
Total FP COMP 25
Total FN 422
Total Scores
MCC 0.612
Average MCC ± 95% Confidence Intervals 0.562 ± 0.100
Sensitivity 0.535
Positive Predictive Value 0.706
Nr of predictions 28

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2. Individual counts for UNAFold [ 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 - 0.93 0.87 1.00 34 6071 1 0 0 1 5
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 0.43 0.39 0.48 11 2678 12 2 10 0 17
3AM1_B - 0.68 0.63 0.73 22 3210 8 1 7 0 13
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J0L_a - 0.51 0.50 0.53 8 1113 7 3 4 0 8
3J0L_2 - 0.25 0.24 0.26 8 6185 25 2 21 2 25
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_7 - 0.48 0.41 0.58 7 1213 5 0 5 0 10
3J16_L 0.26 0.23 0.30 7 2752 16 1 15 0 23
3NDB_M - 0.84 0.74 0.96 45 9133 3 0 2 1 16
3NKB_B - 0.59 0.54 0.67 14 1995 7 0 7 0 12
3O58_3 0.35 0.34 0.35 12 12369 33 1 21 11 23
3O58_2 0.71 0.71 0.71 27 7222 12 4 7 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 0.64 0.52 0.79 22 3888 6 1 5 0 20
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 1 6 0 14

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Performance of Cylofold - scored lower in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 464
Total TN 111909
Total FP 197
Total FP CONTRA 21
Total FP INCONS 153
Total FP COMP 23
Total FN 443
Total Scores
MCC 0.607
Average MCC ± 95% Confidence Intervals 0.586 ± 0.088
Sensitivity 0.512
Positive Predictive Value 0.727
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.72 0.60 0.86 24 5123 8 2 2 4 16
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 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LKR_A - 0.50 0.44 0.59 17 6076 12 2 10 0 22
2XQD_Y 0.81 0.78 0.84 21 2825 4 4 0 0 6
3ADB_C - 0.78 0.71 0.87 27 4155 4 0 4 0 11
3AKZ_H 0.66 0.57 0.76 16 2680 6 0 5 1 12
3AM1_B - 0.76 0.63 0.92 22 3216 2 0 2 0 13
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3J0L_a - 0.22 0.19 0.27 3 1117 8 1 7 0 13
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_7 - 0.30 0.29 0.33 5 1210 10 0 10 0 12
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3NDB_M - 0.58 0.48 0.71 29 9139 13 1 11 1 32
3NKB_B - 0.40 0.31 0.53 8 2001 7 0 7 0 18
3O58_3 0.36 0.34 0.38 12 12371 29 5 15 9 23
3O58_2 0.80 0.68 0.93 26 7232 3 0 2 1 12
3PDR_A 0.72 0.54 0.95 39 12839 4 0 2 2 33
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.62 0.50 0.78 21 3889 6 0 6 0 21
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 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.