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

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(seed) ProbKnot
MCC 0.584 > 0.427
Average MCC ± 95% Confidence Intervals 0.476 ± 0.098 < 0.506 ± 0.115
Sensitivity 0.492 > 0.416
Positive Predictive Value 0.694 > 0.439
Total TP 354 > 299
Total TN 1015109 > 1014938
Total FP 180 < 405
Total FP CONTRA 6 < 53
Total FP INCONS 150 < 329
Total FP COMP 24 > 23
Total FN 365 < 420
P-value 8.88051568979e-08

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Performance plots


  1. Comparison of performance of Murlet(seed) and ProbKnot. 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 Murlet(seed) and ProbKnot).

  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 Murlet(seed) and ProbKnot).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(seed) and ProbKnot. 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 Murlet(seed) and ProbKnot).

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Performance of Murlet(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 354
Total TN 1015109
Total FP 180
Total FP CONTRA 6
Total FP INCONS 150
Total FP COMP 24
Total FN 365
Total Scores
MCC 0.584
Average MCC ± 95% Confidence Intervals 0.476 ± 0.098
Sensitivity 0.492
Positive Predictive Value 0.694
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.64 0.61 0.68 263 977515 145 6 117 22 171
PDB_00005 0.53 0.29 1.00 4 942 2 0 0 2 10
PDB_00716 0.23 0.13 0.43 3 2694 4 0 4 0 20
PDB_01092 0.69 0.48 1.00 25 10128 0 0 0 0 27
RFA_00632 0.21 0.11 0.43 3 4088 4 0 4 0 25
RFA_00636 0.21 0.11 0.43 3 3998 4 0 4 0 25
RFA_00767 0.47 0.33 0.67 6 1882 3 0 3 0 12
RFA_00768 0.41 0.28 0.63 5 1883 3 0 3 0 13
RFA_00769 0.57 0.44 0.73 8 1942 3 0 3 0 10
RFA_00770 0.57 0.44 0.73 8 2005 3 0 3 0 10
RFA_00773 0.41 0.28 0.63 5 1945 3 0 3 0 13
RFA_00779 0.47 0.33 0.67 6 1944 3 0 3 0 12
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.50 0.38 0.67 6 2136 3 0 3 0 10

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Performance of ProbKnot - scored lower in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 299
Total TN 1014938
Total FP 405
Total FP CONTRA 53
Total FP INCONS 329
Total FP COMP 23
Total FN 420
Total Scores
MCC 0.427
Average MCC ± 95% Confidence Intervals 0.506 ± 0.115
Sensitivity 0.416
Positive Predictive Value 0.439
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.37 0.36 0.38 158 977480 279 40 223 16 276
PDB_00005 0.78 0.79 0.79 11 932 3 0 3 0 3
PDB_00716 -0.01 0.00 0.00 0 2680 22 0 21 1 23
PDB_01092 0.73 0.63 0.85 33 10114 8 1 5 2 19
RFA_00632 0.40 0.39 0.41 11 4068 16 0 16 0 17
RFA_00636 0.44 0.46 0.43 13 3975 17 0 17 0 15
RFA_00767 0.63 0.56 0.71 10 1877 4 0 4 0 8
RFA_00768 0.44 0.44 0.44 8 1873 11 1 9 1 10
RFA_00769 0.54 0.56 0.53 10 1934 9 4 5 0 8
RFA_00770 0.59 0.56 0.63 10 2000 9 0 6 3 8
RFA_00773 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00779 0.63 0.56 0.71 10 1939 4 3 1 0 8
RFA_00808 0.65 0.56 0.75 9 2004 3 0 3 0 7
RFA_00809 0.35 0.38 0.33 6 2127 12 1 11 0 10

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