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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Cylofold PPfold(seed)
MCC 0.584 > 0.089
Average MCC ± 95% Confidence Intervals 0.605 ± 0.097 > 0.028 ± 0.059
Sensitivity 0.486 > 0.011
Positive Predictive Value 0.709 < 0.750
Total TP 270 > 6
Total TN 60671 < 61044
Total FP 120 > 2
Total FP CONTRA 10 > 0
Total FP INCONS 101 > 2
Total FP COMP 9 > 0
Total FN 286 < 550
P-value 3.30280588002e-08

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Performance plots


  1. Comparison of performance of Cylofold and PPfold(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 Cylofold and PPfold(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 Cylofold and PPfold(seed)).

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

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Performance of Cylofold - scored higher in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 270
Total TN 60671
Total FP 120
Total FP CONTRA 10
Total FP INCONS 101
Total FP COMP 9
Total FN 286
Total Scores
MCC 0.584
Average MCC ± 95% Confidence Intervals 0.605 ± 0.097
Sensitivity 0.486
Positive Predictive Value 0.709
Nr of predictions 17

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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
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.69 0.70 0.70 16 2903 7 2 5 0 7
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
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
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
3W3S_B 0.44 0.38 0.52 15 4724 15 0 14 1 25
3ZEX_D 0.58 0.49 0.69 24 6986 11 0 11 0 25
3ZND_W 0.40 0.39 0.41 9 2981 15 2 11 2 14
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
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11
4FRN_A 0.20 0.14 0.31 5 5135 11 2 9 0 31

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Performance of PPfold(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for PPfold(seed)

Total Base Pair Counts
Total TP 6
Total TN 61044
Total FP 2
Total FP CONTRA 0
Total FP INCONS 2
Total FP COMP 0
Total FN 550
Total Scores
MCC 0.089
Average MCC ± 95% Confidence Intervals 0.028 ± 0.059
Sensitivity 0.011
Positive Predictive Value 0.750
Nr of predictions 17

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2. Individual counts for PPfold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.30 0.75 6 1532 2 0 2 0 14
3AMU_B 0.00 0.00 0.00 0 3003 0 0 0 0 27
3J16_L 0.00 0.00 0.00 0 2775 0 0 0 0 30
3J20_1 0.00 0.00 0.00 0 2926 0 0 0 0 23
3J20_0 0.00 0.00 0.00 0 2850 0 0 0 0 30
3J2L_3 0.00 0.00 0.00 0 7875 0 0 0 0 53
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3570 0 0 0 0 37
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
3ZEX_D 0.00 0.00 0.00 0 7021 0 0 0 0 49
3ZND_W 0.00 0.00 0.00 0 3003 0 0 0 0 23
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19
4FRG_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
4FRN_A 0.00 0.00 0.00 0 5151 0 0 0 0 36

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