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 Multilign(20) - scored lower in this pairwise comparison

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


Overview

Metric Fold Multilign(20)
MCC 0.601 > 0.561
Average MCC ± 95% Confidence Intervals 0.591 ± 0.146 > 0.556 ± 0.161
Sensitivity 0.530 > 0.466
Positive Predictive Value 0.688 > 0.682
Total TP 275 > 242
Total TN 64922 < 64967
Total FP 142 > 123
Total FP CONTRA 15 > 10
Total FP INCONS 110 > 103
Total FP COMP 17 > 10
Total FN 244 < 277
P-value 5.70180496535e-08

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Performance plots


  1. Comparison of performance of Fold and Multilign(20). 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 Multilign(20)).

  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 Multilign(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Fold and Multilign(20). 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 Multilign(20)).

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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 275
Total TN 64922
Total FP 142
Total FP CONTRA 15
Total FP INCONS 110
Total FP COMP 17
Total FN 244
Total Scores
MCC 0.601
Average MCC ± 95% Confidence Intervals 0.591 ± 0.146
Sensitivity 0.530
Positive Predictive Value 0.688
Nr of predictions 15

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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
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2XXA_G 0.93 0.86 1.00 36 5115 0 0 0 0 6
3AMU_B 0.64 0.59 0.70 16 2980 9 0 7 2 11
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
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
3ZEX_D 0.76 0.67 0.87 33 6983 5 1 4 0 16
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
4FRG_B 0.24 0.22 0.27 7 3460 19 3 16 0 25

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Performance of Multilign(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 242
Total TN 64967
Total FP 123
Total FP CONTRA 10
Total FP INCONS 103
Total FP COMP 10
Total FN 277
Total Scores
MCC 0.561
Average MCC ± 95% Confidence Intervals 0.556 ± 0.161
Sensitivity 0.466
Positive Predictive Value 0.682
Nr of predictions 15

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2. Individual counts for Multilign(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2XXA_G 0.00 0.00 0.00 0 5139 12 1 11 0 42
3AMU_B 0.63 0.56 0.71 15 2982 8 0 6 2 12
3J20_0 0.61 0.53 0.70 16 2827 8 1 6 1 14
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.65 0.53 0.80 28 7840 9 0 7 2 25
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.57 0.48 0.69 20 3887 9 1 8 0 22
3ZEX_D 0.75 0.65 0.86 32 6984 5 1 4 0 17
4A1C_3 0.70 0.59 0.84 32 7102 6 0 6 0 22
4A1C_2 0.15 0.15 0.15 5 11747 33 3 26 4 28
4AOB_A 0.49 0.38 0.64 16 4346 10 1 8 1 26
4ENB_A 0.34 0.26 0.45 5 1264 6 1 5 0 14
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.12 0.09 0.17 3 3468 15 0 15 0 29

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