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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RSpredict(seed)
MCC 0.571 > 0.514
Average MCC ± 95% Confidence Intervals 0.572 ± 0.150 > 0.515 ± 0.084
Sensitivity 0.519 > 0.427
Positive Predictive Value 0.636 > 0.625
Total TP 204 > 168
Total TN 48809 < 48861
Total FP 128 > 105
Total FP CONTRA 14 < 41
Total FP INCONS 103 > 60
Total FP COMP 11 > 4
Total FN 189 < 225
P-value 2.8150742666e-08

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Performance plots


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

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 204
Total TN 48809
Total FP 128
Total FP CONTRA 14
Total FP INCONS 103
Total FP COMP 11
Total FN 189
Total Scores
MCC 0.571
Average MCC ± 95% Confidence Intervals 0.572 ± 0.150
Sensitivity 0.519
Positive Predictive Value 0.636
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.88 0.79 1.00 11 935 0 0 0 0 3
PDB_00716 -0.01 0.00 0.00 0 2678 24 1 22 1 23
PDB_00828 0.88 0.78 1.00 21 2464 0 0 0 0 6
PDB_00829 0.86 0.75 1.00 18 2260 0 0 0 0 6
PDB_01020 0.86 0.74 1.00 17 2261 1 0 0 1 6
PDB_01073 0.80 0.65 1.00 22 4349 1 0 0 1 12
PDB_01092 0.76 0.63 0.92 33 10117 5 0 3 2 19
RFA_00632 0.24 0.25 0.25 7 4067 21 2 19 0 21
RFA_00636 0.40 0.39 0.41 11 3978 16 2 14 0 17
RFA_00767 0.74 0.56 1.00 10 1881 0 0 0 0 8
RFA_00768 0.48 0.44 0.53 8 1876 7 1 6 0 10
RFA_00769 0.52 0.56 0.50 10 1933 10 4 6 0 8
RFA_00770 0.68 0.56 0.83 10 2004 5 0 2 3 8
RFA_00773 0.57 0.56 0.59 10 1936 7 1 6 0 8
RFA_00779 0.68 0.56 0.83 10 1941 2 0 2 0 8
RFA_00808 -0.01 0.00 0.00 0 2000 19 2 14 3 16
RFA_00809 0.37 0.38 0.38 6 2129 10 1 9 0 10

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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 168
Total TN 48861
Total FP 105
Total FP CONTRA 41
Total FP INCONS 60
Total FP COMP 4
Total FN 225
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.515 ± 0.084
Sensitivity 0.427
Positive Predictive Value 0.625
Nr of predictions 17

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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
PDB_00005 0.71 0.57 0.89 8 937 1 0 1 0 6
PDB_00716 0.59 0.48 0.73 11 2686 4 0 4 0 12
PDB_00828 0.54 0.41 0.73 11 2470 4 2 2 0 16
PDB_00829 0.74 0.63 0.88 15 2261 2 2 0 0 9
PDB_01020 0.76 0.65 0.88 15 2261 2 2 0 0 8
PDB_01073 0.39 0.18 0.86 6 4364 1 0 1 0 28
PDB_01092 0.48 0.37 0.63 19 10123 13 1 10 2 33
RFA_00632 0.47 0.39 0.58 11 4076 8 3 5 0 17
RFA_00636 0.62 0.54 0.71 15 3984 6 3 3 0 13
RFA_00767 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00768 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00769 0.59 0.56 0.63 10 1937 6 4 2 0 8
RFA_00770 0.54 0.56 0.53 10 1997 9 6 3 0 8
RFA_00773 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00779 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00808 0.60 0.50 0.73 8 2005 4 0 3 1 8
RFA_00809 0.37 0.31 0.45 5 2134 7 0 6 1 11

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